SAP Community - SAP Analytics Cloud, connectivity

What’s New in SAP Analytics Cloud Release 2024.04

2024-02-22T01:05:43.154000+01:00

This blog post introduces the features of the SAP Analytics Cloud 2024.04 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q2 2024 release. View the QRC release schedule here.

System Administration and Technical Requirements

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.397 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

Note: To avoid downloading older versions and potentially exposing users to a vulnerable bundling of the Cloud Connector with SAPJVM, or Apache Tomcat, only the three latest versions of the kits are available to download.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Enterprise Planning
- Multi Actions - Support analytic models in Multi Action parameter | (SAP Road Map Explorer)
Story Extensibility
- Composite Enhancement: Support Responsive Layout | (SAP Road Map Explorer)

Multi Actions - Support analytic models in Multi Action parameter

Users can now apply analytic models to multi actions parameters and can use these parameters in data action steps and API steps. The parameter can also be used dynamically in story runtime. (SAP Road Map Explorer)

Story Extensibility

Composite Enhancement: Support Responsive Layout

Story designers can now leverage composites in responsive pages in the optimized story experience. This is part of a larger composite enhancement that will be part of the Q2 quarterly release. (SAP Road Map Explorer)

Learn more about composites in this blog post by @jie_deng .

This blog post only provides a high-level overview of the latest features and enhancements of SAP Analytics Cloud. You can find more details on these features in your In-App Help Guide for FastTrack customers and see this SAP Knowledge Base Article if you’d like to learn more about FastTrack and Quarterly Release Cycle releases.

If you have any questions regarding the content in this blog post, you can comment below. If you have product specific or technical questions, post a question to our SAP Analytics Cloud Questions & Answers forum. Visit our SAP Analytics Cloud Community pages to find more product information, best practices, and more. And check out our SAP Road Map Explorer to see more upcoming features of SAP Analytics Cloud.

Unraveling the SAP DataSphere: Insights in bite-sized pieces

2024-02-22T21:05:16.665000+01:00

SAP DataSphere is the next generation of SAP Data Warehouse Cloud that supports enterprise databases. It provides an integrated environment for data entry, indexing, word modeling, cluster storage, and virtualization. Comprehensive data services erected on the SAP Business Technology platform to give all data professionals with easy and scalable access to critical business data. This enables organizations to simplify their data warehouse environments by processing data from SAP and third-party cloud and on-premises environments into a single, fully integrated cloud environment. This feature was introduced in 2019 and renamed in March 2023. Generating large amounts of data, SAP dataSphere offers advantages such as scalability, cost savings, accessibility and data security. In addition to SAP DataSphere, SAP Analytics Cloud provides advanced analytics, planning and forecasting capabilities and the ability to activate data for decision-making, and SAP Digital Boardroom is an add-on that provides decision makers with the most informed information.

Benefits of SAP DataSphere

A secure environment that supports many data application requirements, including real-time analytics, database access management, and data science (machine learning).
Space provides a secure modeling environment for multiple departments or use cases.
Connectivity to multiple data sources is guaranteed, including SAP and non-SAP clouds and data lakes.
No-code and low-code architecture to support custom modeling needs of business users.
Seamless integration with SAP Analytics Cloud, using Microsoft Excel and the O Data public API to support the use of other clients, tools and applications.
Multiple visualizations and robust data analysis and visualization.
Graphical effects and genetic analysis to visualize changes in data movement and other dependencies.
Spatial collaboration and geospatial sharing to combine files with external sources that support low security.
Metamodels and data models in SAP Business Warehouse and SAP SQL Data Warehouse implementations.

Will SAP DataSphere Replaces BW4HANA

For more information regarding this you can go through this blog.

Why Your Business Needs SAP Datasphere: A Technical Deep Dive

In the age of information overload, managing and utilizing data effectively is no longer a luxury, but a necessity. SAP Datasphere emerges as a powerful solution, offering a comprehensive data management platform built for the modern enterprise. But why exactly is it essential, and what technical aspects make it stand out? Let's dive deep into the reasons why your business needs SAP Datasphere:

1. Conquering the Data Silos:

Imagine a world where data flows freely, unconstrained by isolated systems and inconsistent formats. That's the magic of SAP Datasphere. It acts as a central hub, seamlessly integrating data from diverse sources, both SAP and non-SAP. This includes ERP systems, customer databases, social media feeds, IoT sensors, and more. Think of it as breaking down data silos and creating a unified landscape, where every piece of information contributes to the bigger picture.

2. Data Management Nirvana:

Integration is just the first step. SAP Datasphere empowers you to manage your data effectively with a robust set of tools:

Data Cataloging: No more data black boxes! Catalog your data assets for clear understanding and efficient discovery.
Semantic Modeling: Ensure consistency and context across systems by defining business rules and relationships between data elements.
Data Governance: Implement robust security and access controls to maintain data integrity and compliance.
Data Quality Management: Identify and correct errors, ensuring your data is reliable and trustworthy.

3. Flexibility Tailored to Your Needs:

No two businesses are alike, so SAP Datasphere offers a flexible architecture to suit your specific needs. Choose from various solutions:

Data Warehousing: Store and analyze massive historical data volumes for in-depth insights.
Data Federation: Access and analyze data from multiple sources without physically moving it, ideal for distributed environments.
Data Virtualization: Provide on-demand access to data without impacting performance, perfect for real-time analytics.

4. Democratizing Data Access:

Data shouldn't just be confined to data scientists. SAP Datasphere fosters a culture of data-driven decision-making by empowering everyone in your organization:

Self-Service Data Access: Business analysts, executives, and even non-technical users can explore and analyze data independently through intuitive tools.
Collaboration and Sharing: Facilitate collaboration and knowledge sharing across teams with secure data access controls.

5. A Foundation for Advanced Analytics:

SAP Datasphere isn't just about data management; it's a springboard for advanced analytics. It seamlessly integrates with SAP Analytics Cloud, allowing you to:

Transform data into actionable insights: Leverage powerful visualization and analytics tools to uncover hidden patterns and trends.
Predictive Analytics and Machine Learning: Utilize cutting-edge AI capabilities to forecast future outcomes and make data-driven decisions.

Technical Advantages:

Open Architecture: Integrates with various data sources and tools, offering flexibility and customization.
Cloud-Native Design: Scalability and agility to handle demanding data workloads.
Security and Compliance: Robust security features to ensure data privacy and regulatory compliance.
API-Driven Development: Enables automation and integration with existing workflows.

How SAP DataSphere is different from SAP Analytics Cloud

SAP DataSphere is for data storage, data governance, and data security. SAC is just a reporting tool with limited data management capabilities.
DataSphere is designed for long-term data storage and a centralized data management system, SAC aims to create an interactive dashboard and application used by end users.
DataSphere is the data source and SAC is the data consumer.
Both are seamlessly integrated but you will have to pay a separate subscription fee.
DataSphere provides ETL functionality and complex replication flows, but SAC does not.
DataSphere also provides advanced data classification and modeling options and SAC does not offer advanced modeling.
DataSphere has relatively high capacity and memory usage compared to SAC.
We can integrate the two solutions in both directions.
Using data sphere we can just preview the data, but we cannot build advanced data insights. SAC can also be used to do collaborative enterprise planning.

How can you integrate SAP DataSphere and SAP Analytics Cloud

Integration Methods:

Live Data Connection:
- SAP Datasphere as a Live Source in SAC:
  1. In SAC, navigate to Connections and select "Add Connection."
  2. Choose "Live Data" and then "SAP Datasphere."
  3. Enter connection details like hostname and port.
  4. Select specific data entities or tables to connect to.
  5. This allows real-time analysis of data directly from Datasphere within SAC.
- Prefer this video.
- SAC as a Live Source in Datasphere:
  1. Currently, direct live connections from SAC to Datasphere are not supported.
Data Loading and Transfer:
- Datasphere Data to SAC:
  1. Use Cloud Data Integration in Datasphere to create a data flow or replication task.
  2. Load data from Datasphere tables into SAC models or data sets.
  3. This enables historical analysis and transformation of data within SAC.
- SAC Data to Datasphere:
  1. Use the OAuth client in SAC to connect to Datasphere.
  2. Develop scripts or tools to load data from SAC models or data sets into Datasphere.
  3. This allows further processing, enrichment, or archiving of data in Datasphere.
Other Integration Options:
- ODBC and JDBC Drivers: Connect to Datasphere via ODBC or JDBC drivers directly within SAC for ad-hoc analysis.
- OData Services: Expose specific Datasphere entities as OData services accessible from SAC for data exploration.

For integration you can prefer this tutorial or this blog.

SAP分析云2024年第一季度更新介绍

2024-02-26T09:09:47.866000+01:00

SAP 分析云是一款先进的商务分析云解决方案，集商业智能 (BI)、增强分析、预测分析和企业规划功能于一体，消除单点解决方案和数据孤岛挑战，能提供您需要的全面云分析功能。

本博文介绍 SAP 分析云 2024 年第一季度的季度发布 (QRC) 的新功能和增强功能。

在链接的视频中，SAP 产品专家将向您展示 2024 年第一季度的部分重点功能。

系统和技术要求

尽管不是必需的，我们推荐您升级到最新的 SAP 分析云代理版本 1.0.395，以利用所有数据采集类型。

除以下情况外，您的代理需要 1.0.75 或以上版本：

SAP ERP/SQL 数据库版本 1.0.99
SAP Universe (UNX)版本 1.0.91
SAP Business Warehouse (BW)版本 1.0.353
SAP HANA View 版本 1.0.235
File Server 版本 1.0.248

更多详细信息，请参阅系统要求和技术先决条件。

每季度发布更新时，都需要通过 SNOTES 更新 SAP BW 与 SAP 分析云的集成。这将确保 SAP BW 的后端和前端同步。要了解实施时需要哪些 SNOTES，请参阅 SAP Note 2541557 中所附的 XML 文件。

有关将 SAP BW 与 SAP 分析云集成的受支持功能和所需更新，请参阅 SAP Note 2541557 以了解更多详细信息。

有关通过 SAP BusinessObjects Live Data Connect 与 SAP 分析云来实时访问 Universe 时的受支持功能和所需更新，请参阅 SAP Note 2771921 以了解更多详细信息。

请从“Service Marketplace”下载最新版本的“简易部署工具箱”。

为避免下载旧版本并可能让用户面对 Cloud Connector 与 SAPJVM 或 Apache Tomcat 的绑定不当带来的漏洞，只有三个最新版本可供下载。

关于云代理的版本变更管理细节，请参考 SAP Note 3264839。

更新亮点

系统和服务管理
增强分析
业务内容交付
- 用于共识净收入规划、财务和销售规划以及流程洞察的业务内容包 |（SAP 路线图浏览器）
数据中心可用性
- 数据中心位于瑞士，可通过 Microsoft Azure 接入欧盟网络 |（SAP 路线图浏览器）
数据发掘
- 数据分析器
数据集成

故事可扩展性
用户协作

系统和服务管理

可信任域的外部超链接列表

用户现在可以在被重定向到外部 URL 时启用警告信息。管理员可以创建免于警告的可信任域列表。（SAP 路线图浏览器）

切换到 SAP Profitability and Performance Management 中的高级计算引擎

使用外壳栏导航菜单右上角的产品切换器菜单在 SAP分析云和 SAP Profitability and Performance Management 之间导航
登录一次后无需重新验证即可再次访问服务

注：在 SAP 分析云的切换菜单中选择高级计算引擎时，外壳栏导航菜单会在新的浏览器选项卡中打开，显示 SAP Profitability and Performance Management 的入口页面。其 URL 定义在租户的系统管理页面的 "链接我的租户 "部分。（SAP 路线图浏览器）

业务内容交付

用于共识净收入规划、财务和销售规划以及流程洞察的业务内容包

通过采用全新的预构建数据模型和故事，缩短实施 SAP 分析云所需的时间。

2024 年第一季度更新的行业和业务领域内容包包括：（SAP 路线图浏览器）

新的行业和业务领域内容包：
- 安全建议仪表板
- SAP S/4HANA 投资组合财务规划
- 共识净收入规划
- 战略性劳动力规划
更新的行业和业务领域内容包：
- SAP S/4HANA 云计算的公共部门管理 KPI 报告
- 公共部门管理规划
- 商业规划
- SAP S/4HANA 集成财务规划的跨模型功能
- SAP S/4HANA 集团财务规划
- SAP S/4HANA 集成财务规划
- 扩展规划与分析 (XP&A) 和人力经验管理 (HXM)
- 针对 SAP S/4HANA 和 SAP S/4HANA Cloud 的企业资产管理和工厂维护分析

点击此处了解有关 SAP Analytics 业务内容的更多信息。

数据中心可用性

数据中心位于瑞士，可通过 Microsoft Azure 接入欧盟网络

通过支持在瑞士的 Microsoft Azure 上部署，客户现在在数据中心位置和超级分销商平台方面有了更多选择。（SAP 路线图浏览器）

数据集成

数据导出 API - 支持公共维

添加一个新的命名空间以显示公共维
支持two-legged 和 three-legged OAuth 协议

注：适用于 Cloud Foundry 租户。（SAP 路线图浏览器）

企业计划

数据操作 - 以分析模型为源进行跨模型复制

使用跨模型复制操作时，能够将 SAP 分析云的分析（非规划）模型作为源模型读取数据。（SAP 路线图浏览器）

Microsoft Office 集成

Microsoft Excel 中的成员选择器的持续更新 - 选择范围

Excel 中扩展的成员选择器功能包括：

选择一系列成员，将其定义为一个过滤器

只有在成员选择器中以 "平面列表模式 "显示成员时，该功能才可用。（SAP 路线图浏览器）

请注意，这只是预览版，将于 2024 年第一季度晚些时候发布。

在 Microsoft Excel 中设置静态报告的格式

为表格提供新选项，允许用户停用默认表格格式并应用 Excel 样式
停用默认表格格式时，用户可为插件表格添加 Excel 格式，并在执行 "刷新 "操作时保持格式不变
用户可为静态表格创建高度自定义的格式；但这种格式不支持展开和折叠操作

（SAP 路线图浏览器）

该功能自 2024 年 1 月 31 日起可用。

Microsoft Excel 设计器窗格标题的更新

通过设计器窗格页眉显示工作表中所选对象的详细内容，使用户能够更改对象，如表格、数据操作触发器或用于公式的数据源。
对标题进行额外更新，以丰富信息和导航功能：
- 用工作表中显示的对象（表格、数据操作触发器或公式的数据源别名）的详细信息丰富标题中的信息

（SAP 路线图浏览器）

该功能自 2024 年 1 月 31 日起可用。

本文仅提供 SAP 分析云的最新功能和增强功能的高级概述。有关这些功能的更多详细信息，请访问 SAP 分析云帮助门户。您还可以访问 SAP 路线图浏览器查看 SAP 分析云即将推出的功能。

Create Popup in SAP Analytics Cloud

2024-03-25T13:29:21.820000+01:00

Hello All!

I wanted to share my Proof of concept about Creating an alert or popup in the SAP Analytics Cloud, This feature will be very useful for alerting purposes.

SAP Analytics Cloud is used to create reports and planning with many features, in that particularly the SAP Analytics cloud allows developers to develop a report in three types types

Optimized Design Experiences
Classic Design Experiences
Analytical Application

Each has its special features, in our case, we going to use Optimized Design Experiences (ODE), Since Classic Design Experiences doesn't support scripting features.

Step 1

Create a story in Optimized Design Experiences
Drag a chart and then select the data source, in my case, I choose a required model for the data source.

Step 2

Choose the required measure and dimensions that to be displayed in the corresponding chart.
In my case, I chose the Numeric chart and Revenue as measures.

Step 3

In the left side panel, you can find the Outline tab, click on it.

Step 4

Select Page 1, click on more options
Add Popup

Step 5

In Popup, I have added an image for the warning and a text box to display the alert message.
The popup is one of the best features, we can display one complete KPI chart or table in the popup itself.

Go to edit the script for Popup, initally it should be closed because whenever the revenue goes below 8000 then only it will be execute, so I coded accordingly.

Step 6

Select the Page_1 and go to Edit Scripts

Step 7

Select onInitialization
Here is my code, this code is used to get all the data in that particular chart and store it in a variable called Revenue, In my case, I want to display the popup when the Revenue goes below 8,000.
If the revenue value go below 8,000 then the Popup will display, If not then the Popup will remain closed.
Save the story and see it in view mode.

Output

Here The Revenue value is 7000, I coded it to show the alert popup whenever the revenue goes below 8000.

And So the Popup is displayed successfully.

Thank You.

What’s New in SAP Analytics Cloud Release 2024.06

2024-03-29T05:16:42.647000+01:00

This blog post introduces the features of the SAP Analytics Cloud 2024.06 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q2 2024 release. View the QRC release schedule here.

System Administration

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.399 to take advantage of all data acquisition types. The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Data Exploration
- Support workspace in data analyzer | (SAP Road Map Explorer)
- Export to PDF using fit to page width in Data Analyzer | (SAP Road Map Explorer)
Data Modeling
- Provision of the “unit” property type | (SAP Road Map Explorer)
- Turn on Optimized Scenario Composer of Analytical Engine
Enterprise Planning
- Data Actions - Show Calendar Usages of a Data Action
- Planning Trigger – updated formatting options formats | (SAP Road Map Explorer)
Story Design
- Replace a Model in the Optimized Story Experience | (SAP Road Map Explorer)
- Access both story and page filters from the vertical Filter Panel
- Support for waterfall chart based on an SAP BW two-structure
- Add hyperlinks to the text in the chart title and footer

Data Exploration

Support workspace in data analyzer

In data analyzer it is now possible to open a model from workspaces, save insights to workspaces and reopen them from a workspace. Users can also open data analyzer from a chart or table in story that uses a model saved to a workspace. (SAP Road Map Explorer)

Export to PDF using fit to page width in Data Analyzer

When exporting data as a PDF file in the data analyzer, there is a new “Fit to page width” option which allows customers to resize a table to the actual page width for the PDF export. (SAP Road Map Explorer)

Data Modeling

Provision of the “unit” property type

Introducing new property type “Unit” which is available for dimensions of type Generic and Organization. The property has a maximum length of 127 characters and can be selected at Measure to indicate Unit of Measure.

Like for currencies, unit properties can be added to dimensions. If a measure has a Unit property assigned, MDS can make sure that aggregation does not happen with mixed Units (prevention of wrong results). (SAP Road Map Explorer)

Turn on Optimized Scenario Composer of Analytical Engine

The new query processing engine, “Use Optimized Scenario Composer of Analytical Engine” will be used by default for all models in SAP Analytics Cloud as of wave 2024.6, as part of a global migration to SAP HANA Cloud Platform. This engine will automatically be rolled out during a system update. If needed, in urgent cases, the engine can be reverted to the legacy engine, as long as your tenant has not been migrated.

For more information, see Optimized Scenario Composer for Analytical Engine.

Enterprise Planning

Data Actions - Show Calendar Usages of a Data Action

In Data Action Settings, users can see where a data action is used in other operations or applications, such as in stories, multi actions, or analytic applications. With this release, we have included calendar tasks in the “Used In” section of a data action. Only calendar tasks that are in an unfinished state are included. Additionally, this is only supported for single tasks and task series, not single tasks of a task series.

Planning Trigger – updated formatting options

It is now possible to set and save default styling preferences for planning triggers in the Themes Preferences dialog. Additionally, vector format such as SVG can be used in planning triggers. For each planning trigger’s styling panel, styling options can be restored to the default preferences, and the styling of the trigger button and font can be reset to default respectively.

This allows for more convenient and streamlined control over default styling when centrally managing the planning triggers’ appearance. (SAP Road Map Explorer)

Story Design

Replace a Model in the Optimized Story Experience

With this release, we the optimized story experience supports model replacement. It will be on a per model basis and the replacement model must be of the same data source type, same number, and type of structure dimensions (it does not have to be on the same connection or have the same number of objects). The original model and replacement model do not need to share the same connection nor have the same number of objects (accounts, measures, dimensions, or properties). However, the version of the replacement model must be the same or higher than the version of the original model. (SAP Road Map Explorer)

There are some data models that can only be used as the original model and not the replacement model. The following are examples of original and allowable replacement models:

Analytic Dataset in SAP Datasphere can be changed to an Analytic Model in SAP Datasphere
Classic Account Model can be changed to the New Model Type with an Account Dimension
Public Dataset can be changed to the New Model Type without an Account Dimension

Learn more in this blog post by Tunir Kapil.

Access both story and page filters from the vertical Filter Panel

It is now possible to view and interact with story and page filters from the vertical filter bar. For each input control on the current page, a page filter is displayed in the new “Applied to this Page” section on the vertical filter panel. It will update accordingly when navigating to another page.

Please note this is only available in the vertical filter panel.

Support for waterfall chart based on an SAP BW two-structure

With the Waterfall Chart, we now support SAP BW Models with a 2nd Structure. There are certain conditions that must be met to view data:

Single measure and a single value filter on the secondary structure will result in a single bar unless there is a hierarchical measure.
Multiple measures and a single value filter on the secondary structure will result in each measure being a bar and the data is based on the secondary structure filter.
Single measure and multiple secondary structure members will result in each member of the secondary structure would be either increasing or decreasing with the last node as the total.

Limitations:

Cannot change the order of the secondary structure members.
If there is at least one hierarchical node, the expand/collapse function will be disabled.

Add hyperlinks to the text in the chart title and footer

For existing stories that are converted from the Classic Experience, the Hyperlink on the Chart Title and Footer is now maintained.

Option to define multiple hyperlinks on the Chart Title and Footer (identical to Text Widget).

Pass External Filter Context with Page and Story Hyperlink is supported. However, the option to “Only Apply Selected Dimension” is hidden for Chart Title and Footer.

Note that the hyperlink on the chart title will convert a dynamic title to static to maintain the hyperlink.

Additional resources:

Live Data Connectivity to Google Big Query

2024-04-03T15:03:57.471000+02:00

Good news for customers looking for live data access to Google BigQuery (GBQ)! With the release in Q4 of 2024, SAP Analytics Cloud (SAC) plans to get its first live SQL data access. Google BigQuery (GBQ) will be the first SQL data source consumed by SAC, as part of SAP’s partnership with Google.

Traditionally, live data access in SAC requires that the remote data source is a data warehouse, completed by semantic modelling and an OLAP engine to access the complete data model. With live SQL data access, SAC will be able to directly access fact data from customers' GBQ data lake, giving customers using GBQ the flexibility to decide whether they want to use acquired or live data within their models. With that, customers will no longer need to maintain load jobs from their data lakes.

Users will be able to choose between using a GBQ service user to access their data lake or individual authentication if user-based security is being used on the data lake. To maximize performance, SAC will use SQL pushdown wherever the source database can handle it.”

Leverage Data Export Service to Visualize Data Change Log

2024-04-04T14:56:44.994000+02:00

One frequently heard requirement from SAC Planning customer is how to create reports and dashboards on data change logs when a planning model has data audit enabled. Today, SAC provides you a flat list of data change log which is NOT easy to consume and lack of security control if planner is only allowed see the change history he is entitled to.

In this blog, I will introduce you a way to achieve this by leveraging the Data Export Service and OData Import Connection without external tool or platform. You may already learned how to replicate data between SAC tenants via Amanda’s blog, we can use the same methodology to load audit data in the same SAC tenant.

Prerequisite:

Your SAC tenant is a Cloud Foundry Tenant deployed either in AWS, Azure, Ali Cloud or Google Cloud.

Steps:

1. Setup OAuth Client and OData Connection

Please follow the exact step 1, 2, 3 and 4 of Amanda’s blog on how to configure the OAuth Client and OData Connection in your SAC tenant.

The only difference is, the OData Connection is to be created in the SAME tenant and pointing to itself.

2. Create an Audit model with new model type

a. Go Modeler -> Create New Model -> Start with Data -> Select Data Source ‘OData Services’

b. Select the OData connection you created in step 1, in my case with name ‘SELF-SALES_PLAN’ -> Next

c. In new query screen select ‘AuditData’ -> Next

d. Select all fields of ‘AuditData’, and it’s optional to set a filter, for example on version -> Next

e. Click Create in the next screen.

f. Now you will see a model with structure like this, the dimensions in orange box are same from your planning model, while dimensions and measures in green box are for data audit information.

You of course can save your audit model directly like this, but it won’t allow you to leverage your existing master data, hierarchy and data access control maintained in your public dimensions(if you have).

Instead, I would recommend to create a new model without data by using public dimensions as much as possible. Just keep this screen untouched(as a reference of audit data structure) and create new browser tab.

g. In the new browser tab go Modeler-> Create New Model -> Start with an empty model

h. Create new dimension by adding Existing Dimension Table(public dimension), you can also create private dimensions if needed.

i. Add all dimensions same as your planning model, in my case as below:

j. Now by referring to audit structure you see in step f, create all audit relevant measures and dimensions as below. Please note that for dimension AUDIT_USER choose ‘Don’t add a dimension table’ and data type ‘Text’, for dimension AUDIT_TIME choose ‘Don’t add a dimension table’ and data type ‘Timestamp’.

k. Audit Action is stored as ‘AUDIT_FLAG’ for each base measure of your planning model with integer(1 = Delete, 2 = New, 3 = Update). To simplify the reporting on audit changes later on, I created an audit action field for each measure with data type ‘Text’. This is my final Audit model:

l. Save the model.

3. Create an import job and load audit data

a. In your audit model, go Data Management -> Create Import Job -> Select Data Source ‘OData Servicres’

b. Repeat step 2 sub step b, c, d and e.

c. Click ‘Set Up Import’

d. Now click ‘Toggle Custom Expression Editor’ , create a new column with expression to convert integer of action into readable text. Do the same for other base measures if you have.

[Action_Lcvalue] = if([AUDIT_FLAG_LCVALUE] == 1, "Delete", if([AUDIT_FLAG_LCVALUE] == 2, "New", if([AUDIT_FLAG_LCVALUE] == 3, "Update", "#")))

e. In the ‘Map to Facts’ UI, most of the dimensions and measures should already be mapped, just map the additional audit action fields you created in previous steps.

f. Run through the steps to the end and run import. Now you should have audit data imported.

4. Use the audit data in a story

Just create a story on this audit model with all SAC capabilities as you want.

Quick Summary:

With Data Export Service and OData Import Connection, I can quickly setup a SAC acquired model and fill it with Data Change Log from my planning model.
Any type of report and dashboard can be created on this audit model.
In my case, I have setup data access control on dimension Region. With the reuse of this public dimension, same data access control can be applied to my audit model.
This approach not only offers an option for reporting on data change log, but also offers an option to backup data change log in the same tenant.

利用数据导出服务可视化数据变更日志

2024-04-04T15:11:28.403000+02:00

从使用SAC 计划的客户那里经常听到的一个需求是，当计划模型启用了数据审计时，如何在数据更改日志上创建报表和仪表盘。如今，SAC 为您提供了数据更改日志的简单列表，但这并不容易使用且缺乏安全控制。

在本博客中，我将向您介绍一种通过利用无外部工具或平台的数据导出服务和 OData 导入连接来实现此目的的方法。你可能已经学习了如何通过 Amanda 的博客在 SAC 租户之间复制数据，我们可以使用相同的方法在同b一 SAC 租户中加载审计数据。

前提条件：

SAC 租户是在 AWS、Azure、Ali Cloud 或 Google Cloud 中部署的 Cloud Foundry 租户。

步骤：

1. 设置 OAuth 客户端和 OData 连接

请遵循 Amanda 博客中有关如何在 SAC 租户中配置 OAuth 客户端和 OData 连接的确切步骤 1、2、3 和 4。

唯一的区别在于，OData 连接将在同一租户中创建并指向自身。

2. 使用新模型类型创建审计线索模型

a. 转到建模器 -> 创建新模型 -> 从数据开始 -> 选择数据源“OData 服务”

b. 选择您在步骤 1 中创建的 OData 连接，在本例中名称为“SELF-SALES_PLAN”->“下一步”

c. 在新查询屏幕中，选择“AuditData”->“下一步”

d. 选择“AuditData”的所有字段，可以选择设置过滤器，例如版本 -> 下一步

e. 在下一个屏幕中单击创建。

f. 现在，你将看到具有此类结构的模型，橙色框中的维与计划模型相同，而绿色框中的维和度量用于数据审计线索信息。

当然，你可以直接保存审计模型，但这不允许你利用公共维中维护的现有主数据、层次结构和数据访问控制（如果有）。

相反，我建议尽可能使用公用维来创建不含数据的新模型。请不要关掉此屏幕（作为审计数据结构的参考），并打开一个新的浏览器标签。

g. 在新的浏览器标签中，转到建模器 -> 创建新模型 -> 以空模型开始

h. 通过添加“现有维表（公用维）”来创建新维，还可以根据需要创建私有维。

i. 添加与计划模型相同的所有维，在我的案例中，如下所示：

j. 现在，通过参考步骤 f 中看到的审计结构，创建所有审计相关度量和维度，如下所示。请注意，对于维 AUDIT_USER，选择“不要添加维表”和数据类型“文本”，对于维 AUDIT_TIME，选择“不添加维表”和数据类型“时间戳”。

k. 对于含整数的计划模型的每个基本度量（1 = 删除、2 = 新建、3 = 更新），审计操作存储为“AUDIT_FLAG”。为了简化以后审计更改的报告，我为每个度量创建了一个数据类型为“文本”的审计操作字段。这是我的最终审核模型：

l. 保存模型。

3. 创建导入作业并加载审计数据

a. 在审计模型中，转到“数据管理”->“创建导入作业”-> 选择数据源“OData 服务”

b. 重复步骤 2 子步骤 b、c、d 和 e。

c. 单击“设置导入”

d. 现在，单击“切换自定义表达式编辑器”，使用表达式创建新列，将操作整数转换为可读文本。如有其他基本度量请执行相同操作。

[Action_Lcvalue] = if([AUDIT_FLAG_LCVALUE] == 1, "Delete", if([AUDIT_FLAG_LCVALUE] == 2, "New", if([AUDIT_FLAG_LCVALUE] == 3, "Update", "#")))

e. 在“映射到事实”的界面中，大多数维度和度量都应已映射，只需映射您在先前步骤中创建的附加审计操作字段即可。

f. 运行步骤以结束并运行导入。现在，您应该已经导入了审计数据。

4. 在故事中使用审核数据

根据需要使用所有 SAC 功能基于此审计模型创建故事。

小结：

通过数据导出服务和 OData 导入连接，我可以快速设置 SAC 导入取模型，并使用我的计划模型中的数据更改日志来填充该模型。
可以在此审计模型上创建任何类型的报表和仪表盘。
在我的案例中，我已经对“Region”维设置了数据访问控制。通过重用此公用维，可以将相同的数据访问控制应用于我的审计模型。
此方法不仅提供用于报告数据更改日志的选项，还提供了在同一租户中备份数据更改日志的选项。

Integrate C4P-Resource Management with SAP Analytics Cloud or SAP DataSphere

2024-04-04T22:27:35.922000+02:00

Summary

Embarking on the journey of leveraging SAP S/4HANA Cloud for Projects, Resource Management (C4P), this blog simplifies the process of accessing its APIs, with a focus on the Resource Request functionality. Beginning with preparations, where we gather key information like API URL and credentials, we then explore the capabilities of the Resource Request API in the Business Accelerator Hub. We break down how to find the right URL for accessing resource requests and demonstrate how to connect these APIs to tools like SAP Analytics Cloud or SAP DataSphere. By following these steps, users can seamlessly integrate data from C4P into their analytics workflow, enabling better decision-making and operational efficiency.

Preparation Step:

You have to Set Up the API Access for for SAP S/4HANA Cloud for Projects, Resource Management

And at step 7 of Creating a Service Key, please note down all of the information mentioned in the table below. We will use them to fill in the connection information in either SAP Analytics Cloud or SAP DataSphere later.

For example:

{
    "apiUrl": https://resource-management-api-projectscloud.cfapps.eu10.hana.ondemand.com,
    "uaa": {
        "clientid": "sb-............................................................265",
        "clientsecret": "49...............................................................vc=",
        "url": https://cp..........w.authentication.eu10.hana.ondemand.com,
        "identityzone": "cp..........w",

apiUrl: is the main part of the OData Service URL and we will add path to this URL in the later step.

clientid: is OAuth Client ID in SAC OData Service Connection dialog

clientsecret: is Secret in SAC OData Service Connection dialog

url: is the base of token URL. The full token URL should be:

https://cp..............w.authentication.eu10.hana.ondemand.com/oauth/token

In Business Accelerator Hub, you will see four cards. Each of them contains a collection of request methods based on OData API. However, only Assignment and Resource Request contain GET method. Project Experience and Workforce Availability don't support GET method. Hence, only queries from Assignment and Resource Request can be imported and consumed in SAP Analytics Cloud and DataSphere. And this blog will take the Resource Request OData API as an example.

Step1: Check API Reference and Capability

Click on the card of Resource Request > Click on API Reference
You will see the GET method is supported for Resource Request.

However, in the Workforce Availability. Only POST method is supported. This is the reason that we are not able to leverage this endpoint in the Analysis Application

Step2: Find OData Service URL for Resource Request

Click on the card of Resource Request > Click on Try Out
Select /ResourceRequests from the method section > click on Environment: Sandbox > Select Add New Environment
In the prompt window > find Starting URL. By following the format, you can add the path of /ResourceRequestService/v1 to the end of the apiUrl which you noted down at the preparation step. For example, like the screenshot below. (In the same vein, the URL logic also applies to Assignment)

(This apiUrl will be used for connection later.)

Step3: Build Connection in SAC

Now, you have obtained all required the information. And you can build the OData Services Connection in SAP Analytics Cloud or SAP DataSphere. For example, like below screenshot.

OData Service Connection supports scheduling import in SAP Analytics Cloud. You can leverage this feature to update the data in the model.

Tips:

If you have DataSphere, you can use DataSphere to restructure the query and then visualize the data in SAP Analytics Cloud.
If you find the data from one single query is not enough and you don't have DataSphere. You can leverage the data blending feature in SAP Analytics Cloud to combine the data visualization from different sources.

What’s New in SAP Analytics Cloud Release 2024.07

2024-04-05T02:07:18.646000+02:00

This blog post introduces the features of the SAP Analytics Cloud 2024.07 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q2 2024 release. View the QRC release schedule here.

System Administration and Technical Requirements

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.399 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Administration and Service Management
- Enforce Purpose and Grant type by OAuth Client
Augmented Analytics
- Just Ask
  - Just Ask administrators can now assign Labels to searchable models
Data Exploration

Calculations dialog: Syntax highlighting
Filter in the filter line on calculated measures
Embedded Dialog Story Filter Panel
Builder panel enhancements

Enterprise Planning
- Data Actions – Select 'Show Only Leaves' in Tracing table | (SAP Road Map Explorer)
- Global Settings for Calendar Notifications | (SAP Road Map Explorer)
- Multi Action Predictive step support prediction interval | (SAP Road Map Explorer)
- Dynamic extension of planning area during data entry
Microsoft Office Integration
- Prompt Enhancements
- Refresh Selected Functions
Story Design
- Filter by member dialog – improved value selection experience | (SAP Road Map Explorer)
- Rank with Others for Charts | (SAP Road Map Explorer)
- Support dynamic font size scaling | (SAP Road Map Explorer)
- Enable batch export when exporting your story to PDF or PPTX | (SAP Road Map Explorer)
- Totals as an anchor or operand for client calculations.
- Numeric Values full precision
- Warn Customers on Deprecation of Classic Design Experience
Story Extensibility
- Composites: Data source Repointing | (SAP Road Map Explorer)
- Custom Widget Support for Universal Model | (SAP Road Map Explorer)
- Section Widget Feature Gaps
- CSV and Excel Export Support for UQM Table
Story Presentation
- Unified Story Presentation Mode | (SAP Road Map Explorer)

Administration and Service Management

Enforce Purpose and Grant type by OAuth Client

When adding a new OAuth client to a tenant hosted on a non-SAP data center, the dialog now provides separate options for Interactive Access and API Access. The authorization grant type must be configured, and will be enforced by the OAuth client.

Augmented Analytics

Just Ask

Assign Labels to searchable models

Just Ask administrators can now assign Labels to searchable models. In addition to model names, users will be able to see the category, such as marketing, sales, forecasting and more. This additional information will provide users with a more comprehensive overview, making it easier to select the models that best suit their needs.

Data Exploration

Calculations dialog: Syntax highlighting

As a user of the Calculated Measures dialog in data analyzer you can now find syntax highlighting in the formula editor. This adds clarity to the formula you create by differentiating objects like measures and functions, etc.

Filter in the filter line on calculated measures

In data analyzer you can now filter in the filter line on calculated measures you’ve created. After having created the calculated measures, they appear instantly in the list of measure options in the filter line.

Embedded Dialog Story Filter Panel

We have made enhancements to the accessibility, functionality, and layout of the embedded dialog story filter panel.

The new UI5 component – Multi Input is used for the multi select.
The single select now appears as editable text in the input field.
Variable header title removed as duplication.
Error handling added for mandatory variables. Asterisk indicator no longer displayed as header title removed.

Builder panel enhancements

We’ve made the following builder panel enhancements:

The builder panel in table now displays the hierarchy structure (available objects list)
The sort context menu in available objects is now available for each individual structure
We introduced a splitter in builder panel for user to adjust its panel area

Enterprise Planning

Data Actions – Select 'Show Only Leaves' in Tracing table

When checking data changes in the analytic window during data action tracing, users can now enable ‘Show Only Leaves’ from the context menu of each dimension to show only its leaf members. (SAP Road Map Explorer)

Global Settings for Calendar Notifications

Administrators can now configure which in-app notifications or emails are sent to users who are involved in calendar events. Settings can be defined depending on the users’ roles (owners, assignees/reviewers, or viewers). (SAP Road Map Explorer)

Multi Action Predictive step support prediction interval

In the predictive step of multi actions, when you choose either the Train & Forecast or Apply predictive action, you can now save a prediction interval by choosing a prediction interval minimum and a prediction interval maximum. Using this feature allows you to visualize the prediction quality. (SAP Road Map Explorer)

Dynamic extension of planning area during data entry

When you auto-generate a planning area based on table context, the planning area will now dynamically expand as you work on a version that’s in public edit mode. This will minimize the size of the planning area and only extend it when needed. Additionally, we’ve made an enhancement to allow for undo/redo extension actions in the version management history.

Microsoft Office Integration

SAP Analytics Cloud, add-in for Microsoft Excel

Prompt Enhancements

Users can now search for variables in the set variables dialog. Additionally, there are two new settings to specify the display of the variables in the dialog:

Show mandatory variables only to show only the variables in the dialog that are mandatory to be set.
Show variable technical names to show the technical names / IDs of the variables in the dialog.

This feature is available to all customers as of March 27, 2024.

Refresh Selected Functions

Users now have the option to refresh a subset of the functions available in your workbook. To do so, select the functions you want to refresh and choose Refresh > Refresh Selected Functions in the ribbon.

This feature is available to all customers as of March 27, 2024.

Story Design

Filter by member dialog – improved value selection experience

The filter by member dialog has been re-designed and provides the following updates: (SAP Road Map Explorer).

User interface enhancements:

Improved UI architecture: The UI layout of the member selector provides direct access to the essential actions & settings, such as the search field and the hierarchy selection. Other settings, like read mode or text presentation, have been moved into a settings panel that can be opened on demand. The multi-column presentation of the selectable members allows for better readability.

Increased scrolling: The new member selector implements a lazy loading mechanism based on the UX pattern "infinite scrolling" which applies to the list of selectable members as well as the list of member selections: as you scroll down, members are automatically and continuously loaded at the bottom.

Increased flexibility: The dialog box can now be resized, and can be dragged to a different position. The panels are also resizable, and the content of the panels are fully responsive.

Search hits highlighting: The new member selector bolds each part of a member label that matches the search criteria.

New functional capabilities:

Enhanced member exclusion paradigm: The new member selector introduces an advanced paradigm for member exclusion: it allows you to deselect one or more descendants of a selected node. For example, select the country “USA” but explicitly exclude the state “Florida”. This selection is dynamic, which means that if, in the data source, a new state is registered under the country “USA”, it is implicitly part of the selection.

Enhanced search capabilities: The new member selector supports the wildcard search, specifically the wildcard character “*” which replaces zero or more characters.

Read more about the improved filter member experience in this blog post by @arnoklein.

Rank with Others for Charts

We will support an option for the Story Designer and Story Viewer to define a rank with others. It will be supported for: (SAP Road Map Explorer)

Charts with Flat Dimension(s)
Charts with Measures with Base Aggregation
Define a Rank with Others on Multiple Axes

Others can be placed last (Top N) or first (Bottom N):

It can be renamed
We will NOT allow you to expand the others node or interact with it (i.e. Linked Analysis, Filter, Exclude, and so on)

Support dynamic font size scaling

As a story designer in Optimized Story Experience, you can select Font Scaling under Tools in the toolbar to set font scale for responsive pages or individual widgets for specific devices, so that the font sizes in your story are dynamically adapted to different devices. (SAP Road Map Explorer)

Enable batch export when exporting your story to PDF or PPTX

In the optimized story experience, it is now possible to enable batch export when exporting a story to PDF or PPTX, so that the story can be exported based on each selected dimension member filter value. Only dimension filter is supported. And the settings of Batch Export aren't available unless the story has a compatible story filter. (SAP Road Map Explorer)

As a story developer, you can use APIs to configure, enable batch export:

Add the settings of Batch Export in both "Export to PDF" and "Export to PowerPoint" technical components in design time;
Add APIs for both "Export to PDF" and "Export to PowerPoint" technical components with value helper support to set batch export properties (incl. batch export enablement, story filter selection, filter value selection).

Allow using Totals as an anchor and operand of FECs

In tables, the designer (and with limitations the viewer) can create client calculations aka frontend calculations (FEC). The new feature allows:

Using an existing ‘Totals’ cell as an anchor
Using an existing ‘Totals’ cells as an operand in the calculation

This allows for example to calculate fractions one member contributes to totals. In the case of BW comments, it also allows showing the comments on a total value.

Numeric Values full precision

In the optimized story experience, the displayed numeric values (and decimal places) will be based on the full precision (non-rounded) source value: this improves the precision of planning workflow using these numbers. Some numbers may not be displayed as expected and will require additional formatting.

Client processing is limited to the Java Script standard precision of decimals which is around 15.

Warn Customers on Deprecation of Classic Design Experience

There is now a banner to warn Story and App Designers (it is not exposed in View Mode) that the Classic Experience is going away, and it is recommended to move content to the Optimized Experience.

There will be no impact to existing workflows. Users can still create, edit, duplication, and import Stories and Analytic Applications in the Classic Experience.

Story Extensibility

Composites: Data source Repointing

As a story designer in Optimized Story Experience, after adding a composite to your story, you can replace its model or objects in use without replacing the model, such as dimensions and measures. (SAP Road Map Explorer)

In Story design time, add a Composite data source panel which is opened via a context menu item to:

List all data sources used in this composite widget in tokens
Replace or update a specific data source by clicking the token

Custom Widget Support for Universal Model

As a story designer in Optimized Story Experience, your custom widget can now consume Universal Account Model. There is support for models with measures and an account dimension, and Model with measures and no account dimension. (SAP Road Map Explorer)

When a model includes both measures and an account dimension, the API DataBinding.getMembers, DataBinding.addMemberToFeed and DataBinding.removeMember functions only apply to the account dimension. Therefore, it's impossible to manipulate measure feeding with the Custom Builder Panel.

Section Widget Feature Gaps

As a story designer in Optimized Story Experience, you can now use Section widget to improve the layout of your stories and break down your analysis per dimension member.

This closes feature gaps with the classic story. Restrictions in the classic story are still application in the optimized story experience.

CSV and Excel Export Support for UQM Table

In the lite viewer of the optimized story experience, in addition to Point of View, you can now select All as the scope to export all the data of a table to an XLSX or CSV file.

Story Presentation

Unified Story Presentation Mode

The Presentation Mode aims to bring the main features that are available with the traditional Digital Boardroom directly into the Optimized Experience. These include: (SAP Road Map Explorer)

Import of Story Pages: it allows a Designer to re-use content as their own. There is an option to re-import the page when we detect there has been an update
Building a Presentation Structure: it can be flat (by default) or configure a tree structure with Topics and Subtopics
Customizing the Presentation Mode Experience: option to configure the Toolbar, Default Viewer, and Navigation Panel State
Present Mode: brand new Present Mode with a simplified toolbar (if configured) and side panel navigation

Lite Viewer for Present Mode is supported for Flat Presentations. NOTE the same limitations for Lite Viewer still apply and will cause a re-direct to the Full Viewer.

Learn more about Unified Story Presentation Mode in this blog post by @Tunir.

What’s New in SAP Analytics Cloud Release 2024.08

2024-04-17T20:07:09.179000+02:00

This blog post introduces the features of the SAP Analytics Cloud 2024.08 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q2 2024 release. View the QRC release schedule here.

System Administration and Technical Requirements

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.401 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Mobile Analytics
- Integrating KPI tiles in SAP Mobile Start ] (SAP Road Map Explorer)

Mobile Analytics

Integrating KPI tiles in SAP Mobile Start

Users can now see SAP Analytics Cloud business KPIs in SAP Mobile Start. The KPIs are shown on the respective tile or widget, and you can easily navigate to the details (analytical story) by tapping on them. This is currently restricted to numeric KPIs.

Learn more in this blog post by @ThiloBerndt.

Why Don't We Use Data and Analytics Group on SAP Community?

2024-04-18T18:28:14.375000+02:00

Hey Data and Analytics Folks! Why Don't We Use Data and Analytics Group on SAP Community instead of Technology?

Of course, it does not matter at the end. As long as if you tag your posts with SAP Managed tags everybody can find your posts. But there is a really one huge difference for usability that here in Interests Groups we can reply-the-reply but under Products and Technology we cannot! Check out this blog post SAP Datasphere is ready to take over the role of SAP BW by @kenneth_dalvik and all responses that are very all boring sequential --there is no reply-the-reply option! 🙃

So let's start using this group Here is already available Data and Analytics. The group will be definitely a perfect fit for SAP Analytics Cloud SAP Datasphere SAP Analytics Cloud, hybrid analytics SAP HANA Cloud, SAP HANA database SAP Analytics Cloud, connectivity SAP Analytics Cloud, analytics designer SAP S/4HANA Cloud, extended edition SAP S/4HANA Embedded Analytics SAP Business Planning and Consolidation, version for SAP NetWeaver SAP Business Warehouse Accelerator BW (SAP Business Warehouse) SAP BW/4HANA BW SAP BEx Analyzer BW SAP BEx Web SAP ASE - BW Enablement BW SAP HANA Data Warehousing SAP Data Services SAP Data Intelligence SAP Data Custodian SAP Big Data Services SAP BusinessObjects - Platform Administration SAP BusinessObjects - Semantic Layer SAP BusinessObjects Mobile SAP BusinessObjects - Semantic Layer - SDK SAP BusinessObjects - Web Intelligence (WebI)

These are welcome too SAP Master Data Governance SAP NetWeaver Master Data Management SAP Data Quality Management for SAP NetWeaver MDM

One thing I've noticed we cannot submit the blog posts directly. We need to "Submit for Review" only. You can still post discussions aka questions directly.

Thanks owners @ColinC, @meganhoy, @moshenaveh, @caroleighdeneen, @craigcmehil for their support!

Regards,
Tuncay Karaca

体验更丝滑！SAP 分析云 2024.07 版功能更新

2024-04-19T03:16:04.872000+02:00

本文介绍了 SAP 分析云 2024.07 版本的新功能。这些新功能已经在 SAP 分析云 FastTrack 客户的系统上线。对于 SAP 分析云季度发布周期 (QRC) 客户，此版本及其功能将作为 QRC 2024 年第2季度版本的一部分提供。这里可以查看 QRC 发布时间表。

系统和技术要求

尽管不是必需的，我们推荐您升级到最新的 SAP 分析云代理版本 1.0.399，以利用所有数据采集类型。

您的代理需要1.0.75或以上版本，但以下情况除外：

SAP ERP/SQL 数据库版本1.0.99
SAP Universe (UNX)版本1.0.365（ SAP分析云代理需要额外的设置步骤，有关详细信息，请参阅 SAP 说明3262098）
SAP Business Warehouse (BW)版本1.0.353
SAP HANA View版本1.0.235
File Server版本1.0.248

更多详细信息，请参阅系统要求和技术先决条件。

关于SAP BW 与 SAP 分析云集成的支持功能和需求更新，请参阅 SAP Note 2541557 以了解更多详细信息。

有关通过 SAP BusinessObjects Live Data Connect 与 SAP 分析云来实时访问 Universe 时的支持功能和需求更新，请参阅 SAP Note 2771921 以了解更多详细信息。

请从“Service Marketplace”下载最新版本的“简易部署工具箱”。

为避免下载旧版本，以及可能让用户面对 Cloud Connector 与 SAPJVM 或 Apache Tomcat 的不当绑定问题，只有三个最新版本可供下载。

关于云代理的版本变更管理细节，请参考 SAP Note 3264839。

更新亮点

管理和服务管理
- 按 OAuth 客户端执行目的和授权类型
智能功能
- “Just Ask”管理员现在可以将标签分配到可搜索模型
数据发掘
企业计划
Microsoft Office 集成
- 提示功能改进
- 刷新选定功能
故事设计
故事可扩展性
故事演示
- 统一故事演示模式 | （SAP路线图浏览器）

管理和服务管理

按 OAuth 客户端执行目的和授权类型

向非 SAP 数据中心托管的租户添加新的 OAuth 客户端时，对话框现在会为交互式访问和 API 访问提供单独的选项。必须配置权限授予类型，并将由 OAuth 客户端强制执行。

智能功能

Just Ask 管理员为可搜索模型分配标签

“Just Ask”管理员现在可以将标签分配到可搜索模型。除模型名称外，用户还可以查看类别，例如市场营销、销售、预测等。此附加信息将向用户提供更全面的概览，从而更轻松地选择最适合其需求的模型。

数据发掘

计算对话框：语法突出显示

作为数据分析器中计算度量对话框的用户，您现在可以在公式编辑器中找到语法高亮显示。通过区分度量和函数等对象，可以使您创建的公式更加清晰。

在筛选器中对计算度量进行筛选

在数据分析器中，您现在可以在筛选器中筛选您创建的计算度量。创建计算度量后，它们会立即出现在筛选器的度量选项列表中。

嵌入式对话故事筛选面板

我们对嵌入式对话框故事筛选器面板的可访问性、功能和布局进行了改进。

新的 UI5 控件--多输入用于多选。
单选现在在输入框中显示为可编辑文本。
删除了重复的变量标题。
为必需变量添加了错误处理功能。移除抬头标题时不再显示星号标识。

生成器面功能改进

我们对生成器面板进行了以下改进：

表格中的生成器面板现在可显示层次结构（可用对象列表）
可用对象中的排序上下文菜单现在可用于每个单独的结构
我们在生成器面板中引入了分隔器，以便用户调整面板区域

企业计划

数据操作 - 在跟踪表中选择“仅显示叶项”

在数据操作跟踪过程中检查分析窗口中的数据变化时，用户现在可以从每个维度的上下文菜单中启用“仅显示叶项”，以仅显示其叶成员。（SAP路线图浏览器）

日历通知的全局设置

管理员现在可以配置向参与日历事件的用户发送哪些应用程序内通知或电子邮件。可以根据用户的角色（所有者、被分派者/审核者或查看者）定义设置。（SAP路线图浏览器）

多步操作预测步骤支持预测间隔

在多步操作的预测步骤中，选择“训练和预测”或“应用预测操作”时，现在可以通过选择预测间隔最小值和最大预测间隔来保存预测间隔。您可以使用此功能可视化预测质量。（SAP路线图浏览器）

数据输入过程中动态扩展规划区域

基于表上下文自动生成计划范围时，计划范围将在您处理处于公用编辑模式的版本时动态展开。这将最小化计划范围的大小，只在需要时扩展。此外，我们还改进了版本管理历史记录中的撤销/重做扩展操作。

Microsoft Office 集成 - SAP分析云Microsoft Excel插件

提示功能改进

用户现在可以在设置变量对话框中搜索变量。此外，还有两个新设置可用于指定对话框中变量的显示方式：

只显示必选变量，对话框中只显示必须设置的变量。
显示变量技术名称，在对话框中显示变量的技术名称/ID。

自 2024 年 3 月 27 日起，所有客户均可使用此功能。

刷新选定功能

用户现在可以选择刷新工作簿中可用函数的子集。为此，请选择要刷新的功能，然后在功能区中选择刷新 > 刷新所选功能。

自 2024 年 3 月 27 日起，所有客户均可使用此功能。

故事设计

按成员筛选对话框 - 改进了值选择体验

重新设计了 "按成员筛选 "对话框，并提供了以下更新（SAP路线图浏览器）：

用户界面改进：

改进 UI 架构：成员选择器的 UI 布局可以直接访问基本操作和设置，如搜索栏和层次选择。其他设置（如阅读模式或文本演示）已移到可按需打开的设置面板。可选成员的多列显示方式提高了可读性。

增加滚动：新的成员选择器采用了基于UX模式 "无限滚动 "的延迟加载模式，该模式适用于可选成员列表和成员选择列表：当您向下滚动时，成员会自动持续加载到底部。

提高灵活性：对话框现在可以调整大小，还可以拖动到不同的位置。面板大小也可以调整，而且内容完全自适应。

突出显示搜索结果：新的成员选择器会将符合搜索条件的成员标签中的每个部分加粗。

新功能：

改进成员排除范例：新的成员选择器引入了成员排除的高级范例：允许您取消选择所选节点的一个或多个子节点。例如，选择国家 "美国"，但明确排除"佛罗里达州"。这种选择是动态的，意味着如果在数据源中，在 "美国 "下注册了一个新州，它就会隐式地成为选择的一部分。

改进搜索功能：新的成员选择器支持通配符搜索，特别是通配符“*”，可以替换零个或更多字符的。

请在 @arnoklein 的博文中阅读更多有关改进筛选成员体验的信息。

统计图排序中的将剩余维度合并为一组

我们将为故事设计者和故事查看者提供一个选项——当使用排名中的前N选项进行排名时，用户可以选择将未进入前N的其他维度进行合并显示。它将支持：（SAP路线图浏览器）

带平面维度的统计图
带有基本聚合度量的统计图
在多个坐标轴上用该功能

“其他”可放在最后（顶部 N）或最前（底部 N）：

可以重命名
不可以扩展其他节点或与之交互（如关联分析、筛选、排除等）。

支持动态字体大小缩放

作为故事设计人员，在优化故事体验中，您可以在工具栏中的“工具”下选择“字体缩放”，设置特定设备的响应页面或单个微件的字体比例，以便故事中的字体大小能够动态适应不同的设备。（SAP路线图浏览器）

将故事导出为 PDF 或 PPTX 时启用批量导出

在优化故事体验中，现在可以在将故事导出为 PDF 或 PPTX 时启用批量导出，这样就可以根据每个选定的维度成员筛选器值导出故事。仅支持维度筛选器。除非故事具有兼容的故事筛选器，否则批量导出的设置不可用。（SAP路线图浏览器）

作为故事开发人员，你可以使用 API 配置、启用批量导出：

在设计时，在“导出为 PDF”和“导出到 PowerPoint”技术微件中添加批量导出设置；
为 "导出到 PDF "和 "导出到 PowerPoint "技术微件添加 API，支持值助手，以设置批量导出属性（包括启用批量导出、故事筛选器选择、筛选器值选择）。

“总计”作为客户端计算的锚点或操作数。

在表格中，设计者（以及受限制的查看者）可以创建客户端计算，又称前端计算（FEC）。新功能允许：

使用现有的 "总计 "单元格作为锚点
使用现有的 "总计 "单元格作为计算中的操作数

例如，这允许计算一个成员对总计贡献的分数。在 BW 注释的情况下，还可以在总值上显示注释。

全精度数值

在优化的故事体验中，显示的数值（和小数位）将基于全精度（非四舍五入）的源值：这提高了使用这些数字的规划工作流的精度。某些数字可能无法按预期显示，需要额外的格式设置。

客户端处理受限于Java Script 的小数点标准精度（约为 15）。

提醒客户经典设计体验将要停用

现在系统内有一个横幅警告故事和应用程序设计人员（在查看模式下不会显示），经典体验即将要停用，建议将内容移至优化体验。

现有工作流程不会受到影响。用户仍可在 "经典体验 "中创建、编辑、复制和导入 "故事 "和 "分析应用程序"。

故事可扩展性

组合：数据源重新指向

作为 "优化故事体验 "中的故事设计者，在故事中添加“组合”后，可以替换其模型或使用中的对象，而无需替换模型，如维度和度量。（SAP路线图浏览器）

在故事设计时，添加“组合”数据源面板，该面板通过上下文菜单项打开，以便：

在标记中列出此“组合”微件中使用的所有数据源
通过单击标记替换或更新特定数据源

新模型的自定义微件支持

作为优化故事体验中的故事设计者，您的自定义微件现在可以使用新模型。支持有度量和账户维度的模型，以及有度量和无账户维度的模型。（SAP路线图浏览器）

当模型包含度量值和账户维度时，API DataBinding.getMembers、DataBinding.addMemberToFeed 和 DataBinding.removeMember 函数仅适用于账户维度。因此，无法使用自定义生成器面板操作度量供给。

“区段”微件功能弥补差距

作为 "优化故事体验 "中的故事设计者，您现在可以使用 “区段”部件来改进故事布局，并按维度成员细分分析。

这弥补了与经典故事的功能差距。经典故事中的限制在优化故事体验中仍然适用。

UQM 表的 CSV 和 Excel 导出支持

在优化故事体验的精简版查看器中，除 "观点"外，现在还可以选择 "全部 "作为范围，将表格的所有数据导出为 XLSX 或 CSV 文件。

故事演示

统一故事演示模式

“演示模式”旨在将传统 Digital Boardroom 提供的主要功能直接引入优化体验。（SAP路线图浏览器）

其中包括：

导入故事页面：允许设计人员将自己的内容重复使用。检测到有更新时，可以选择重新导入页面。
构建演示结构：可以是平面结构（默认），也可以配置主题和子主题的树形结构。
自定义演示模式体验：配置工具栏、默认查看器和导航面板状态的选项
演示模式：全新演示模式，具有简化工具栏（如果已配置）和侧面板导航

演示模式的精简查看器支持平面演示。请注意，精简查看器仍有同样的限制，并会重新定向到完整查看器。

在 @Tunir 的这篇博文中，了解有关统一故事演示模式的更多信息。

本文仅提供 SAP 分析云的最新功能和改进功能的高级概述。您可以在针对FastTrack客户的应用内帮助指南中找到有关这些功能的更多详细信息，如果您想了解更多关于FastTrack和季度发布周期发布的信息，请参阅这篇SAP知识库文章。

如果您对本博文的内容有任何疑问，可以在下方发表评论。如果您有具体的产品或技术问题，请在我们的 SAP Analytics Cloud 问答论坛上提问。访问我们的 SAP Analytics Cloud 社区页面，了解更多产品信息、卓越实践等。查看我们的 SAP 路线图浏览器，了解 SAP Analytics Cloud 即将推出的更多功能。

What’s New in SAP Analytics Cloud Release 2024.09

2024-04-29T06:04:07.831000+02:00

This blog post introduces the features of the SAP Analytics Cloud 2024.09 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q3 2024 release. View the QRC release schedule here.

System Administration

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.403 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

Note: To avoid downloading older versions and potentially exposing users to a vulnerable bundling of the Cloud Connector with SAPJVM, or Apache Tomcat, only the three latest versions of the kits are available to download.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Data Integration
- Enable credential sharing for IBP and Generic ODATA connections
Microsoft Office Integration
- Add-in for Microsoft Excel
  - Support offline mode for cell-based formulas | (SAP Road Map Explorer)

Data Integration

Enable credential sharing for IBP and Generic ODATA connections

Users can now allow per-user credentials when creating and sharing new data acquisition connections for SAP Integrated Business Planning and generic OData Services data sources.

Microsoft Office Integration

Add-in for Microsoft Excel

Supporting offline mode for custom cell-based formulas (get and set data)

There is a new mode for workbooks that allow keeping the values for custom functions (also when changing sheet layout) when the end user is not connected to SAP Analytics Cloud or does not have the add-in. (SAP Road Map Explorer)

What’s New in SAP Analytics Cloud Q2 2024

2024-05-06T18:34:56.855000+02:00

SAP Analytics Cloud brings together analytics and planning with unique integration to SAP applications and seamless access to heterogenous data sources. It helps everyone in your organization make decisions without doubt with trusted insights and integrated plans. This blog post introduces the new features and enhancements of the SAP Analytics Cloud Q2 2024 Quarterly Release (QRC).

Join our SAP Product Experts in the video below as they demonstrate some of the features highlighted in Q2 2024.

System Administration and Technical Requirements

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.401 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.91 for SAP universe (UNX)
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Important: With every quarterly release update, there are required updates for the integration of SAP BW with SAP Analytics Cloud via SNOTES. This will ensure that the SAP BW back and font ends are in sync. To learn which SNOTES are required for implementation, refer to the XML-File attached in SAP Note 2541557.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Service Marketplace.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Administration and Service Management
- Administrative-level control of sharing public and private files | (SAP Road Map Explorer)
- Central control over user profile settings for administrators | (SAP Road Map Explorer)
- Expiration of file-repository backups | (SAP Road Map Explorer)
- Enforce Purpose and Grant type by OAuth Client
Augmented Analytics
- Just Ask
  - Just ask: natural-language query | (SAP Road Map Explorer)
    - Just Ask administrators can now assign Labels to searchable models
  - Predictive Planning
    - Predictive Planning – making prediction intervals visible in stories | (SAP Road Map Explorer)
Business Content Delivery
- Business content packages for finance, commercial, and workforce planning | (SAP Road Map Explorer)
Data Exploration
- Data analyzer – copy cells from table (Ctrl C) | (SAP Road Map Explorer)
- Data analyzer – export to PDF with the option to fit columns to page width | (SAP Road Map Explorer)
- Data analyzer – support for workspaces | (SAP Road Map Explorer)
- Calculations dialog: Syntax highlighting
- Filter in the filter line on calculated measures
- Embedded Dialog Story Filter Panel
- Builder panel enhancements
Data Integration
- Support for live data connections to SAP Integrated Business Planning for Supply Chain | (SAP Road Map Explorer)
- Variable dialog – text configuration, settings panel, and more | (SAP Road Map Explorer)
- Support x.509 certificates for SAP Integrated Business Planning connection type
Data Modeling
- Provision of the “unit” property type | (SAP Road Map Explorer)
- Turn on Optimized Scenario Composer of Analytical Engine
Enterprise Planning
- Advanced Formulas - Link function enabled with analytic models as a source | (SAP Road Map Explorer)
- Data Actions - story API to poll the execution status | (SAP Road Map Explorer)
- Data Actions – selecting 'Show Only Leaves' in tracing table | (SAP Road Map Explorer)
- Multi Actions - access external API URL from a detailed dialog | (SAP Road Map Explorer)
- Multi Actions - supporting parameters from analytic models | (SAP Road Map Explorer)
- Plan Process Management - extended APIs for stories and analytical applications | (SAP Road Map Explorer)
- Plan Process Management - notifications management | (SAP Road Map Explorer)
- Plan Process Management – ability to include descendants when creating processes using the Calendar Wizard | (SAP Road Map Explorer)
- Planning Trigger – updated formatting options | (SAP Road Map Explorer)
- Version Management - dynamic expansion of planning area during data entry | (SAP Road Map Explorer) (Blog)
- Data Clearance in the Cross-Model Copy Step of Data Actions
- Data Actions - Show Calendar Usages of a Data Action
Microsoft Office Integration
- Add-in for Microsoft Excel
  - Refresh Selected Functions | (SAP Road Map Explorer)
  - Formatting of a static report in Microsoft Excel
  - Design Pane Header Re-design
  - Recent List in Open Dialog
  - Custom Function: GETVARIABLES
  - Support for SAP BW and SAP S/4HANA live models
  - Prompt Enhancements
  - Supporting offline mode for custom cell-based formulas (get and set data) in Microsoft Excel | (SAP Road Map Explorer)
Mobile Analytics
- Integrating KPI tiles in SAP Mobile Start | (SAP Road Map Explorer)
Story Design
Story Extensibility
- Composite widgets (phase two) | (SAP Road Map Explorer)
  - Composite Enhancement: Support Responsive Layout
  - Composites: Data source Repointing
- Custom widget support for the universal model | (SAP Road Map Explorer) (Blog)
- Supporting bursting mode for data change insights | (SAP Road Map Explorer)
- Section Widget Feature Gaps
Story Presentation
- Unified story presentation mode | (SAP Road Map Explorer) (Blog)

Business Content Delivery

Business content packages for finance, commercial, and workforce planning

Reduce the time spent implementing SAP Analytics Cloud by adopting new, prebuilt data models and stories.

Updated packages for industries and lines of business for Q2 2024 include: (SAP Road Map Explorer)

New industry and line-of-business content packages:

Commercial planning
Consensus net revenue planning
Cross-model functionality for integrated financial planning for SAP S/4HANA
Group financial planning for SAP S/4HANA
Integrated financial planning for SAP S/4HANA
Operational workforce planning
Accessibility templates for SAP Analytics Cloud
Trade management
Order management suite
SAP for Utilities
SAP Risk and Assurance Management

Lear more about SAP Analytics Business Content here.

Data Exploration

Data analyzer – copy cells from table (Ctrl C)

This new feature supports the copy operation from Data Analyzer grid. Using keyboard shortcut Ctrl+C the user should be able to copy the selected cells and header information in raw format and paste to desired target supports data. (SAP Road Map Explorer)

Enterprise Planning

Data Actions - story API to poll the execution status

Script API to proactively query the data action status: (SAP Road Map Explorer)

Return the data action status based on specific the execution ID
Establish execution dependencies based on dependent data action completion

Plan Process Management – ability to include descendants when creating processes using the Calendar Wizard

Enhancement to the Calendar Wizard task generation, enabling automatically generate events for child members when selecting a parent member of the driving dimension (SAP Road Map Explorer)

This blog post only provides a high-level overview of the latest features and enhancements of SAP Analytics Cloud. For more details on these features, please visit the SAP Analytics Cloud Help Portal. You can also visit the SAP Road Map Explorer to see the upcoming features of SAP Analytics Cloud.

SAP 分析云 2024.09 版功能更新

2024-05-07T03:45:26.977000+02:00

本文介绍了 SAP 分析云 2024.09 版本的新功能。这些新功能已经在 SAP 分析云 FastTrack 客户的系统上线。对于 SAP 分析云季度发布周期 (QRC) 客户，此版本及其功能将作为 QRC 2024 年第3季度版本的一部分提供。这里可以查看 QRC 发布时间表。

系统和技术要求

尽管不是必需的，我们推荐您升级到最新的 SAP 分析云代理版本 1.0.403，以利用所有数据采集类型。

您的代理需要1.0.75或以上版本，但以下情况除外：

SAP ERP/SQL 数据库版本1.0.99
SAP Universe (UNX)版本1.0.365（ SAP分析云代理需要额外的设置步骤，有关详细信息，请参阅 SAP 说明3262098）
SAP Business Warehouse (BW)版本1.0.353
SAP HANA View版本1.0.235
File Server版本1.0.248

更多详细信息，请参阅系统要求和技术先决条件。

关于SAP BW 与 SAP 分析云集成的支持功能和需求更新，请参阅 SAP Note 2541557 以了解更多详细信息。

有关通过 SAP BusinessObjects Live Data Connect 与 SAP 分析云来实时访问 Universe 时的支持功能和需求更新，请参阅 SAP Note 2771921 以了解更多详细信息。

请从“Service Marketplace”下载最新版本的“简易部署工具箱”。

为避免下载旧版本，以及可能让用户面对 Cloud Connector 与 SAPJVM 或 Apache Tomcat 的不当绑定问题，只有三个最新版本可供下载。

关于云代理的版本变更管理细节，请参考 SAP Note 3264839。

更新亮点

数据集成
- 为 IBP 和通用 ODATA 连接启用凭据共享
Microsoft Office 集成
- Microsoft Excel 加载项
  - 支持基于单元格的公式的离线模式 | (SAP Road Map Explorer)

数据集成

为 IBP 和通用 ODATA 连接启用凭据共享

现在用户可以在为 SAP Integrated Business Planning 和通用 OData 服务数据源创建和共享新的数据获取连接时，允许将凭据同连接一同分享。

Microsoft Office 集成 - Microsoft Excel 插件

支持自定义基于单元格的公式的离线模式（获取并设置数据）

在工作簿的一种新模式下，允许在终端用户未连接到SAP Analytics Cloud或没有添加插件时，也能保留自定义函数的值（即使更改了工作表布局）。 (SAP Road Map Explorer)

Import Data Connection to SAP S/4HANA in SAP Analytics Cloud : Technical Configuration

2024-05-10T12:04:30.942000+02:00

In this blog we’ll discuss complete steps for Import data connection from S/4 hana on-premise system to SAP Analytics Cloud . The Operating system we are using on which S/4 Hana system is installed is SUSE Linux SP 15.

Here, Our Data source is S/4 Hana from which the SAP Analytics Cloud is connected using the SAP Analytics Cloud Agent and SAP Cloud Connector.

It is recommended that the Cloud Connector, SAP Analytics Cloud agent, and the SAP Java Connector (JCo) are installed together on a dedicated server, and not a personal computer. This helps to ensure that multiple users can use an import data connection without experiencing slowness or downtime.

The SAP Analytics Cloud Agent Simple Deployment Kit allows you to quickly get your import data connections working.

The simple deployment kit is only supported on Windows 64-bit operating systems. If you have a different server, such as Linux, you'll need to install and configure the agent manually.

If we have windows Environment, then the SAP Analytics Cloud Agent Simple Deployment Kit is preferred. More details can be found in the below link.

SAP Analytics Cloud Agent Simple Deployment Kit | SAP Help Portal

For Linux Environment we have to install SAP JVM, SAP Cloud Connector, Tomcat Apache server, SAC Agent, Java Connector.

Below are the steps for Import Data connection for On-premise S/4 HANA systems -

SAP JVM 8.1 and JDK installation on the linux server
Install SAP Cloud Connector on the same linux server.
Installing Tomcat Apache server
Installing and configuring Java connector (Jco)in Tomcat .
Installing and configuring SAP Analytics Cloud Agent .
Configuration and Connection steps in SAC portal

1. SAP JVM 8.1 installation on the same linux server

Download the SAP JVM from the below link:

https://tools.hana.ondemand.com/#cloud

Download the rpm file compatible for linux 86x64 -
sapjvm-8.1.095-linux-x64.rpm (sha1)

Move the file to the server and run the below command to install SAP JVM

rpm -i <file_name>.rpm

Also it is recommended to install the openjdk packages on SUSE linux .

Run command ‘zypper install java’

To check the verison of openjdk installed.

Run command 'java –version'

2. Install SAP Cloud Connector on the same linux server.

To download the SAP Cloud Connector go to the below link :

https://tools.hana.ondemand.com/#cloud

Download the zip file for Linux x86_64 Architechture and move the downloaded file to the server.

Now, unzip the file and install the rpm package for cloud connector as below.

Cloud connector is installed now.

To open the SCC, enter: https://<hostname>:8443 in a browser, where the <hostname> is the hostname of the machine on which the connector is installed, and the port number is the one configured during installation. The default port number is 8443

By default Login Credentials are :

Username : Administrator

Password : manage

After the fist login , It prompts you to change password for the Administrator User.

Now Add the SAC subaccount to the cloud connector:

Click on “Add subaccount” and enter the details SAC subaccount , which you can find on SAP Analytics Cloud.

To find the Subaccount details of SAP Analytics Cloud :

You must use a System Owner account to perform the following steps. If you don't know who the system owner is, log on to SAP Analytics Cloud and from the side navigation, choose Security > Users.

Log on to SAP Analytics Cloud.
From the side navigation, choose System > Administration.
Switch to the Data Source Configuration tab.

3.Installing Tomcat Apache Server :

Create a directory named tomcat in the /opt folder:
Go to the Apache Tomcat 8 Download page by clicking this https://tomcat.apache.org/download-80.cgi Place your cursor under 8.5.65 Binary Distributions, right-click on the tar file and select the copy link address from the menu that appears (as shown in the picture below). At the time of writing, Tomcat 8 is the most recent edition, but you are free to use whatever version is most current.

Download the file from wget

Extract the tar.gz file

Starting Tomcat apache server

4.Installing and configuring Java connector (Jco)in Tomcat .

Download SAP Java connector from SAP support portal -> Software downloads

On a Linux server, put the sapjco3.jar and libsapjco3.so in the lib folder of Apache Tomcat.

5. Installing and configuring SAP Analytics Cloud Agent .

It is recommended, but not mandatory, that the Cloud Connector, SAP Analytics Cloud agent, and the SAP JCO are installed together on a dedicated server, and not a personal computer. This helps to ensure that multiple users can use an import data connection without experiencing slowness or downtime.

Modifying the Cloud Connector’s embedded web application and deploying the agent to it is not supported.

Download the SAP Analytics Cloud agent from the SAP Support Portal.

The agent is available on the SAP Software Downloads page. Expand By Category, select SAP Cloud Solutions > SAP ANALYTICS CLOUD CONN > SAP ANALYTICS CLOUD CONN 1.0 > SAP ANALYTICS CLOUD AGENT 1.0 and download the latest version.

Unzip the downloaded file and rename the WAR file to C4A_AGENT.war.
Extract the package and copy the file C4A_AGENT.war to your Tomcat webapps directory.

The agent will automatically deploy when Tomcat is restarted.

Create a user for the SAP Analytics Cloud agent and assign the Services role to the user.

The user credentials will be needed later for setting up the connection to SAP Analytics Cloud.

Restart the Tomcat application server for the settings to take effect.
Test if the installation was successful, by opening the following URL in your browser: http://<Host>:<Port>/C4A_AGENT/deploymentInfo

The version of the SAP Analytics Cloud agent installed is displayed.

6. Configuration and Connection steps in SAC portal

Add the Data source in System > Administration > on-premise data sources

Check connection configuration , It should be green.

From the side navigation, choose

Connections > (Add Connection).

The Select a data source dialog will appear.

Expand Acquire Data and select SAP S/4HANA.
In the New SAP S/4HANA Connection dialog, do the following:

In the Connection Information section, add a Connection Name and Description.
If you are connecting to an SAP S/4HANA on-premise system, select Connect to an On-Premise OData service, and then select the Location of your Cloud Connector from the list.
Enter the Data Service URL published during your configuration

Select the authentication type.
Enter the User Name and Password of the user you want to import data from.
Choose Create.

The new connection is added to the list of connections on the Connections screen.

Conclusion :

Import Data Connection to S/4Hana on-premise system in SAP Analytics Cloud has been established successfully.

Unleashing the Power of Custom Widgets in SAP Analytics Cloud

2024-05-14T14:30:00.034000+02:00

Agenda:

Introduction
Prerequisites
Why custom widget?
Developing Custom Widget
Limitations
Conclusion

Dear SAP community,

In today's world where data is crucial, it's really important to have analytics solutions that fit our business needs perfectly. With SAP Analytics Cloud (SAC), we can create custom analytical applications that are just right for our needs. One cool thing we can do with SAC is develop custom widgets. These widgets help us add more functions to SAC beyond what it already offers. In this blog post, I'm excited to talk about my experience making a custom SAC widget using a JSON file.

Prerequisites:

Proficiency in JavaScript and JSON: Custom widgets in SAC are developed using JavaScript and defined using JSON files. Ensure that you have a good understanding of these languages and their syntax.
Development Environment: Set up a development environment with the necessary tools for JavaScript development, such as a code editor (e.g., Visual Studio Code) and a web browser for testing.
SAP Analytics Cloud Tenant: Access to an SAC tenant where you can create and test custom widgets. This may require coordination with your SAC administrator or IT department.
Access to Documentation and Resources: Familiarize yourself with the official SAP documentation and resources related to custom widget development in SAC. This includes the SAC Developer Guide, API reference documentation, and any relevant tutorials or guides provided by SAP.
Understanding of Widget Lifecycle and Events: Gain an understanding of the lifecycle of custom widgets in SAC, including initialization, rendering, data binding, and event handling. Understanding how widgets interact with the SAC environment will be crucial for developing robust and efficient solutions.
Testing Environment: Set up a testing environment where you can deploy and test your custom widgets in a controlled environment before deploying them to production. This could be a sandbox or development environment within your SAC tenant.

Why Custom Widgets?

SAC provides a rich set of pre-built visualizations and functionalities. However, there are instances where users may require specialized visualizations or interactions that aren't available out-of-the-box. This is where custom widgets shine. By creating custom widgets, users can tailor their analytics applications to address unique business requirements, enhancing decision-making and driving business outcomes.

Developing a Custom Widget

Developing a custom widget in SAC is a straightforward process. It begins with defining the widget's properties and behaviours using a JSON file. This file specifies the widget's appearance, data binding, interactions, and any custom logic required. Once the JSON file is defined, it can be uploaded to SAC, where it is rendered as a fully-functional widget within the application.

During the development process, I found the documentation provided by SAP to be comprehensive and user-friendly, guiding me through each step with clarity. Additionally, the SAC community forums proved to be an invaluable resource, offering insights and solutions to common challenges encountered during widget development.

Step 1:

Download the git bash using the below commands

Step 2:

Download the git angular file using the below command in git bash

Step 3:

Go into your file location and execute “npm i”

step 4:

Once you installed the angular ,execute “node server.js” to enable localhost 3000

Step 5 :

Execute “ngrok http 3000”

Step 6:

Copy the forwarding link from output and add “static/googleGauge.png” and “static/googleGauge. js” and paste in 7th and 15th line like in the below image

https://2ece-2401-4900-1cd1-b5dc-c1bf-2d2-c435-affd.ngrok-free.app/static/googleGauge.png

https://2ece-2401-4900-1cd1-b5dc-c1bf-2d2-c435-affd.ngrok-free.app/static/googleGauge.js

Step 7:

Search “Google gauge chart cdn” go to the link in the src from the below image and copy the js code

https://www.gstatic.com/charts/loader.js

Step 8:

Remove the selected lines in the below image and paste the code in googleGauge.js

Now your JSON file is ready.

Step 9:

Step 10:

Navigate to Custom widget and use that ‘+’ icon to add your JSON file.

Step 11:

Once your JSON file successfully imported, again navigate to analytical application and create a new analytical application.

Note**: As Classic Design Experience mode is deprecating, prefer optimised mode for better experience.

Step 12:

Go to insert -> custom widget -> choose your desire JSON file.

Step 13:
Once you added that JSON file the design you build in VS code will be replicated here. Then add input field, two buttons for plus and minus.

On-Initialise Code:

Minus Button Code:

Add Button Code:

Canvas Code:

Output:

I gave ‘123’ as Label and checked ‘+’, ‘-‘ buttons were working fine.

Limitations:

Limited Browser Support: Custom widgets are rendered using web technologies such as HTML, CSS, and JavaScript, which may not be fully supported across all web browsers. Ensure compatibility with supported browsers, as specified by SAP, to avoid potential rendering issues for end-users.
Performance Considerations: Custom widgets may introduce performance overhead, especially if they involve complex calculations or data processing. Be mindful of performance implications and optimize your custom widgets accordingly to ensure a smooth user experience.
Dependency on SAC Updates: Custom widgets may rely on SAC APIs or underlying platform features, which could be subject to change with platform updates. Regularly review SAP's release notes and announcements to stay informed about any changes that may impact your custom widgets.
Limited Debugging Tools: Debugging custom widgets can be challenging, as SAC provides limited debugging tools compared to traditional web development environments. Utilize browser developer tools and logging mechanisms within your custom widgets to aid in troubleshooting and debugging.
Security Considerations: Custom widgets execute within the SAC environment and have access to sensitive data. Ensure that your custom widgets adhere to best practices for security, such as data encryption, input validation, and protection against common web vulnerabilities like cross-site scripting (XSS) and injection attacks.
Lack of Official Support for Third-Party Libraries: While SAC allows you to use third-party libraries within custom widgets, SAP does not officially support or guarantee compatibility with all libraries. Exercise caution when incorporating third-party dependencies and thoroughly test their compatibility with SAC.
Limited Accessibility Features: SAC custom widgets may lack built-in accessibility features, such as keyboard navigation and screen reader support. Ensure that your custom widgets adhere to accessibility standards to provide an inclusive user experience for all users.
Development Complexity: Developing custom widgets requires proficiency in web technologies such as JavaScript, HTML, and CSS. Additionally, understanding SAC's widget API and platform-specific nuances adds to the development complexity. Invest time in learning and mastering these technologies to effectively develop and maintain custom widgets.

Conclusion

In conclusion, the ability to develop custom widgets within SAP Analytics Cloud empowers users to create tailored analytics solutions that drive business value. By leveraging the flexibility and extensibility of custom widgets, organizations can unlock new insights, streamline analytics processes, and ultimately, make better decisions.

I encourage fellow SAP Community members to explore the possibilities of custom widgets within SAC and share their experiences and insights. Together, we can continue to innovate and elevate the power of analytics in the digital age.

Reference Link:

https://community.sap.com/t5/technology-blogs-by-sap/file-upload-widget-how-to-develop-custom-widgets-with-the-react-framework/ba-p/13572666

Tags: SAP Analytics Cloud, hybrid analytics SAP Analytics Cloud #SAC_Customwidget #HANA

Happy Analyzing!

Akash Kannan K
Associate Consultant, SAP DATA ANALYST

SAP分析云2024年第二季度更新介绍

2024-05-15T05:21:23.656000+02:00

本文介绍 SAP 分析云 2024 年第二季度的季度发布 (QRC) 的新功能和增强功能。

在链接的视频中，SAP 产品专家将向您展示 2024 年第二季度的部分重点功能。

系统和技术要求

尽管不是必需的，我们推荐您升级到最新的 SAP 分析云代理版本 1.0.401，以利用所有数据采集类型。

您的代理需要1.0.75或以上版本，但以下情况除外：

SAP ERP/SQL 数据库版本1.0.99
SAP Universe (UNX)版本1.0.91
SAP Business Warehouse (BW)版本1.0.353
SAP HANA View版本1.0.235
File Server版本1.0.248

更多详细信息，请参阅系统要求和技术先决条件。

关于SAP BW 与 SAP 分析云集成的支持功能和需求更新，请参阅 SAP Note 2541557 以了解更多详细信息。

有关通过 SAP BusinessObjects Live Data Connect 与 SAP 分析云来实时访问 Universe 时的支持功能和需求更新，请参阅 SAP Note 2771921 以了解更多详细信息。

请从“Service Marketplace”下载最新版本的“简易部署工具箱”。

为避免下载旧版本，以及可能让用户面对 Cloud Connector 与 SAPJVM 或 Apache Tomcat 的不当绑定问题，只有三个最新版本可供下载。

关于云代理的版本变更管理细节，请参考 SAP Note 3264839。

更新亮点

系统和服务管理
- 共享公共文件和私有文件的管理级别控制 | （SAP 路线图浏览器）
- 管理员对用户配置文件设置的集中控制 | （SAP 路线图浏览器）
- 文件资源库的备份到期设置 | （SAP 路线图浏览器）
- 按 OAuth 客户端执行目的和授权类型 | （SAP 路线图浏览器）
增强分析
- “Just Ask”：自然语言查询 | （SAP 路线图浏览器）
  - “Just Ask”管理员现在可以将标签分配到可搜索模型
- 计划预测
  - 计划预测 - 在故事中展示预测区间 |（SAP路线图浏览器）
业务内容交付

面向财务、商业和劳动力计划的业务内容包 |（SAP路线图浏览器）

数据发掘
数据集成
- 支持面向供应链的 SAP 集成业务计划的实时数据连接 |（SAP路线图浏览器）
- 变量对话框－文本配置、设置面板等 |（SAP路线图浏览器）
- 支持 SAP Integrated Business Planning 连接类型的 x.509 证书 |（SAP路线图浏览器）
数据建模
- 提供“单位”属性类型 |（SAP路线图浏览器）
- 启用分析引擎的优化方案编写器
企业计划
Microsoft Office 集成
- Microsoft Excel 加载项
  - 刷新选定功能 | （SAP路线图浏览器）
  - Microsoft Excel 中静态报表的格式设置
  - 重新设计设计窗格标题
  - 打开对话框中的最近使用列表
  - 自定义函数：GETVARIABLES
  - 支持 SAP BW 和 SAP S/4HANA 实时模型
  - 提示功能改进
  - 支持 Microsoft Excel 中基于自定义单元格公式（获取和设置数据）的离线模式 | （SAP路线图浏览器）
移动分析

在 SAP Mobile Start 中集成 KPI 磁贴 | （SAP路线图浏览器）

业务内容交付

面向财务、商业和劳动力计划的业务内容包

采用新的预构建数据模型和故事，减少实施 SAP 分析云时所花费的时间。

2024 年第 2 季度针对行业和业务线更新的软件包如下：（SAP路线图浏览器）

新的行业和业务线内容包：

商业计划
共同点净收入计划
面向 SAP S/4HANA 的集成财务计划的跨模型功能
面向 SAP S/4HANA 的组财务计划
面向 SAP S/4HANA 的集成财务计划
运营劳动力计划
SAP 分析云的可访问性模板
贸易管理
订单管理套件
SAP for Utilities
SAP 风险和保障管理

点击此处，了解 SAP 业务分析内容的更多信息。

数据发掘

数据分析器－从表中复制单元格（Ctrl C）

此新功能支持从数据分析器网格中进行复制操作。使用键盘快捷键 Ctrl + C，用户可以复制选定单元格和标题信息的原始格式，之后粘贴到所需目标支持数据。（SAP路线图浏览器）

企业计划

数据操作－用于轮询执行状态的故事 API

用于主动查询数据操作状态的脚本 API：（SAP路线图浏览器）

根据特定的执行 ID 返回数据操作状态
基于相关数据操作完成情况建立执行依赖关系

计划流程管理 – 使用日历向导创建流程时能够包括子节点

增强日历向导任务生成，在选择动因维的父成员时自动为子成员生成事件（SAP路线图浏览器）

本文仅提供 SAP 分析云的最新功能和增强功能的高级概述。有关这些功能的更多详细信息，请访问 SAP 分析云帮助门户。您还可以访问 SAP 路线图浏览器查看 SAP 分析云即将推出的功能

What’s New in SAP Analytics Cloud Release 2024.10

2024-05-16T19:02:04.447000+02:00

This blog post introduces the features of the SAP Analytics Cloud 2024.10 release available for SAP Analytics Cloud FastTrack customers. For SAP Analytics Cloud Quarterly Release Cycle (QRC) customers, this release and its features will be available as part of the QRC Q3 2024 release. View the QRC release schedule here.

System Administration and Technical Requirements

Although not required, you may upgrade to the latest SAP Analytics Cloud agent version 1.0.405 to take advantage of all data acquisition types.

The agent’s minimum version remains at 1.0.75, with the following exceptions:

Version 1.0.99 for SAP ERP/SQL Database
Version 1.0.365 for SAP universe (UNX). The SAP Analytics Cloud agent requires additional setup steps, for more details see SAP Note 3262098
Version 1.0.353 for SAP Business Warehouse (BW)
Version 1.0.235 for SAP HANA View
Version 1.0.248 for File Server

For more information, see System Requirements and Technical Prerequisites.

Regarding supported features and required updates for the integration of SAP BW with SAP Analytics Cloud, refer to SAP Note 2541557 for further details.

Regarding supported features and required updates for live universe access through SAP BusinessObjects Live Data Connect with SAP Analytics Cloud, refer to SAP Note 2771921 for further details.

Please download the latest version of the Simple Deployment Kit from Software Center.

For Cloud agent version change management details, refer to SAP Note 3264839.

Release Highlights

Administration and Service Management
- Administrative-level control of sharing public and private files | (SAP Road Map Explorer)
Augmented Analytics
- Forecast in chart support in optimized story experience
Enterprise Planning
- Advanced Formulas – supporting the “any” hierarchy parameter | (SAP Road Map Explorer)
- Data Actions – migration of existing allocation design time | (SAP Road Map Explorer)
Story Design
- Descriptions for story calculations | (SAP Road Map Explorer)
- Improved Linked Analysis with Visualization Drill

Administration and Service Management

Administrative-level control of sharing public and private files

Sharing privilege have been added in the Roles page on public and private files. This change allows the system administrator to enable or disable a user’s ability to share content that is saved in private or public folders. The rule will apply to the owner of a file as well. (SAP Road Map Explorer)

Augmented Analytics

Forecast in chart support in optimized story experience

Users can now add a forecast to time series or line charts in the optimized experience (view and design mode).

Enterprise Planning

Advanced Formulas – supporting the “any” hierarchy parameter

When designing advanced formulas, users can now include a data action parameter that has ANY type hierarchy, without the need to specify a hierarchy for the dimension the parameter is set on using CONFIG.HIERARCHY. This provides more flexibility by choosing the hierarchy to use when running the data action containing the advanced formulas. Note a parameter of date dimension with its hierarchy set to Any cannot be included. (SAP Road Map Explorer)

Data Actions – migration of existing allocation design time

Legacy allocations are currently only available to view and execute. Existing legacy allocations have been automatically migrated to data actions in the folder “Structured Allocations” on system upgrade. The legacy allocation designer has been disabled. New allocations can be created in the data action designer.

Story Design

Descriptions for story calculations

In the optimized story experience, when creating calculations and calculation input controls in the calculation editor, user can now provide both a Name (ID) and Description. If a Description is not provided, the ID will be used instead. This enhancement allows for creating multiple calculations with the same description. (SAP Road Map Explorer)

Improved Linked Analysis with Visualization Drill

In the optimized story experience, drilling up on a chart after drilling down on multiple members will now show the same results whether or not Linked Analysis is enabled.

This blog post only provides a high-level overview of the latest features and enhancements of SAP Analytics Cloud. You can find mor details on these features in your In-App Help Guide for FastTrack customers and see this SAP Knowledge Base Article if you’d like to learn more about FastTrack and Quarterly Release Cycle releases.

If you have any questions regarding the content in this blog, you can comment below. If you have product specific of technical questions, post a question to our SAP Analytics Cloud Questions & Answers forum. Check out our SAP Road Map Explorer to see more upcoming features of SAP Analytics Cloud.