{ "schemaVersion": "1.0", "title": "Data Quality Management System", "lang": "en", "prd": { "oneLiner": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "goal": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "whyNow": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "category": "Internal operations system", "platforms": [ "Web" ], "problem": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "solution": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "alternatives": "Email, chat, spreadsheets, and manual ledgers", "differentiator": "Manage intake, processing, and operations data as one connected source of truth.", "targets": [ { "name": "Data practitioner and business user relying on analytics and operational data", "role": "Requester and operational user", "needs": "Quickly register needed work and know its status.", "pain": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain." }, { "name": "Data governance and quality operations coordinator", "role": "Operations administrator", "needs": "Manage priority and history and review operations metrics.", "pain": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain." }, { "name": "System and policy administrator", "role": "Operations and security administrator", "needs": "Manage access, policy, and audit history.", "pain": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain." } ], "scenarios": [ { "text": "An operational user registers required work and checks its status.", "start": "P1" }, { "text": "An operator processes queued work and handles exceptions.", "start": "P5" }, { "text": "System and policy administrator reviews policy and access.", "start": "P9" }, { "text": "System and policy administrator reviews audit records and operating metrics.", "start": "P10" } ], "northStar": "Share of operations requests completed on time", "kpis": [ { "name": "On-time processing rate", "target": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "baseline": "Not measured", "method": "Monthly aggregation of state changes against target dates", "refs": [ "F6" ] }, { "name": "Operations visibility", "target": "100% of key work tracked", "baseline": "Not measured", "method": "Share of records connected to reporting", "refs": [ "F11" ] }, { "name": "Auditable operations rate", "target": "100% of key changes retained", "baseline": "Not measured", "method": "Monthly audit-log and change-history review", "refs": [ "F12" ] } ], "inScope": [ "Data-quality rule and issue registration", "Quality score, error, impact scope, and remediation-history lookup", "Rule execution, issue assignment, root-cause analysis, remediation, and validation handling", "Accuracy, completeness, timeliness, and issue-SLA reporting", "Data-quality rule and issue registration validation and duplicate prevention", "Search, filter, and history management", "Owner, priority, and SLA management", "Approval and policy review", "Exception, rejection, and reprocessing", "Notifications and subscriptions", "External integration and data synchronization", "Role, permission, and audit management" ], "nonGoals": [ "External customer portal", "Replacing adjacent systems such as accounting or payroll" ], "assumptions": [ "User and organization data are available through company SSO.", "Operators manage policy and classification criteria." ], "risks": [ "Weak initial classification can cause incorrect processing.", "Stale source data can reduce operational trust." ], "openQuestions": [ "What defines urgent processing and approval?", "What are the post-completion verification and reopen rules?" ], "constraints": [ "State, owner, and priority changes require audit logs.", "Access is limited by role.", "Permission, policy, and state changes require audit logs." ] }, "requirements": [ { "id": "R1", "title": "Intake and data quality", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F1", "title": "Data-quality rule and issue registration", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Data-quality rule and issue registration core processing rule", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Data-quality rule and issue registration exception and audit handling", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] }, { "id": "F2", "title": "Data-quality rule and issue registration validation and duplicate prevention", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Data-quality rule and issue registration validation and duplicate prevention core processing rule", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Data-quality rule and issue registration validation and duplicate prevention exception and audit handling", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] } ] }, { "id": "R2", "title": "Records and search", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F3", "title": "Quality score, error, impact scope, and remediation-history lookup", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Quality score, error, impact scope, and remediation-history lookup core processing rule", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Quality score, error, impact scope, and remediation-history lookup exception and audit handling", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] }, { "id": "F4", "title": "Search, filter, and history management", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Search, filter, and history management core processing rule", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Search, filter, and history management exception and audit handling", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] } ] }, { "id": "R3", "title": "Processing and ownership", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F5", "title": "Rule execution, issue assignment, root-cause analysis, remediation, and validation handling", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Rule execution, issue assignment, root-cause analysis, remediation, and validation handling core processing rule", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Rule execution, issue assignment, root-cause analysis, remediation, and validation handling exception and audit handling", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] }, { "id": "F6", "title": "Owner, priority, and SLA management", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Owner, priority, and SLA management core processing rule", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Owner, priority, and SLA management exception and audit handling", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] } ] }, { "id": "R4", "title": "Approval and exceptions", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F7", "title": "Approval and policy review", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "mid", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Approval and policy review core processing rule", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Approval and policy review exception and audit handling", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] }, { "id": "F8", "title": "Exception, rejection, and reprocessing", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "mid", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Exception, rejection, and reprocessing core processing rule", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Exception, rejection, and reprocessing exception and audit handling", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] } ] }, { "id": "R5", "title": "Notifications and integrations", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "mid", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F9", "title": "Notifications and subscriptions", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Notifications and subscriptions core processing rule", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Notifications and subscriptions exception and audit handling", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] }, { "id": "F10", "title": "External integration and data synchronization", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "External integration and data synchronization core processing rule", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "External integration and data synchronization exception and audit handling", "desc": "Connect quality rules, measurements, issues, impact analysis, owners, remediation, validation, and quality metrics. Retain change, failure, and reprocessing conditions with history.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] } ] } ] }, { "id": "R6", "title": "Insights and controls", "desc": "Achieve 95% or more quality-rule pass rate for critical datasets and reduce resolution time.", "status": "todo", "priority": "mid", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "features": [ { "id": "F11", "title": "Accuracy, completeness, timeliness, and issue-SLA reporting", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "status": "todo", "priority": "high", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ], "specs": [ { "title": "Accuracy, completeness, timeliness, and issue-SLA reporting core processing rule", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain.", "acceptance": [ { "text": "Required context, changes, ownership, and status are retained in an auditable record.", "done": false } ] }, { "title": "Accuracy, completeness, timeliness, and issue-SLA reporting exception and audit handling", "desc": "Data errors, quality standards, impact, and remediation ownership are split across data tools and spreadsheets, making reliable metrics hard to maintain. 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