A Government Regulatory Agency
A comprehensive Enterprise Data Management & Governance solution to unify fragmented data, establish trusted master data, and build a future-ready information foundation for a national regulatory body.
Client
A Government Regulatory Agency
Industry
Public Sector
Solution
Enterprise Data Management & Governance
Timeline
2025
Status
In ProgressMeasurable Outcomes
Fragmented enterprise data across 12+ systems consolidated into a single, trusted master data environment.
Multi-domain master data management covering Customer, Supplier, Organisation, Person, Product, Asset, Finance, and Reference Data.
Standardised governance processes, defined stewardship roles, and automated workflows replacing manual, fragmented practices.
Trusted information foundation enabling future analytics, AI, and digital transformation initiatives.
Client Context
About the Client
A national government regulatory agency responsible for managing sensitive corporate and intellectual property information across South Africa. The agency operates across multiple systems including Informix, Oracle, Microsoft SQL Server, Power BI, SAP BusinessObjects, and Azure platforms.
Operating Environment
Enterprise data was fragmented across 12+ systems with inconsistent quality, no standardised governance, and limited metadata visibility. Compliance and auditability risks were significant, and the organisation lacked the trusted data foundation required for future analytics and AI initiatives.
Why Purple Wire
Purple Wire was engaged to deliver a comprehensive Enterprise Data Management and Governance solution, covering multi-domain master data management, data quality, metadata management, lineage, and enterprise integration across all 12+ systems.
The Business Challenge
A government regulatory agency responsible for managing sensitive corporate and intellectual property information faced six critical data challenges: enterprise data fragmented across multiple systems (Informix, Oracle, Microsoft SQL Server, Power BI, SAP BusinessObjects, and Azure platforms); inconsistent data quality driven by duplicate records and varying business rules; no standardised governance processes, ownership, or stewardship responsibilities; dispersed metadata limiting discoverability and data lineage visibility; compliance and auditability risks due to the absence of consistent governance controls; and a lack of the trusted information foundation required to support future analytics, AI, and digital transformation initiatives.
Solution Approach
- Enterprise Data Governance — policies, stewardship roles, workflows, and audit management
- Multi-Domain Master Data Management across Customer, Supplier, Organisation, Person, Product, Asset, Finance, and Reference Data domains
- Data Quality Management — validation rules, duplicate detection and prevention, Golden Record creation, profiling, and monitoring
- Workflow & Process Orchestration — configurable approvals, escalations, SLA monitoring, and automated notifications
- Business Rules Management via a low-code configurable rules engine
- Reference Data Management — codes, classifications, and lookup value standardisation
- Enterprise Metadata Management — discovery, cataloguing, business glossary, classification, and search (delivered by PurpleWire)
- Data Lineage & Impact Analysis — end-to-end lineage, source-to-target mapping, and dependency analysis (delivered by PurpleWire)
- Enterprise Integration — REST APIs, ETL/ELT pipelines, database connectors, and real-time & batch integration across 12+ systems
- Reporting & Operational Dashboards — governance KPIs, data quality metrics, workflow status, and audit reports
- Dedicated cloud deployment on Manch Cloud Infrastructure (Digital Ocean) with private cloud option (AWS/Azure/GC)
- Ongoing support services and knowledge transfer
Implementation Timeline
Project Initiation & Discovery
Phase 1Project charter, governance structure, stakeholder identification, requirement validation, current environment assessment, and detailed project planning.
Solution Design
Phase 2Solution architecture, functional and technical design, integration design, security model, and data governance framework design.
Configuration & Development
Phase 3Platform configuration, workflow and business rule setup, master data domain configuration, metadata configuration, and integration development.
Testing & Validation
Phase 4System Integration Testing (SIT), User Acceptance Testing (UAT), performance and security validation, and defect resolution.
Production Deployment
Phase 5Production deployment, data migration, cut-over activities, go-live support, and 60-day hypercare period.
Support & Continuous Improvement
Phase 6Production support, knowledge transfer, operational stabilisation, performance monitoring, and continuous improvement recommendations.
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Solutions Deployed in This Project
Enterprise Data Management
Multi-Domain MDM & Governance
Comprehensive EDM solution unifying 12+ systems with master data management and lineage.
Software Development
Integration Pipeline Development
REST API and ETL/ELT pipelines connecting Oracle, SQL Server, Informix, and Azure systems.
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