Shared Services Data Management Strategy - Big Data & BI (PowerPoint PPTX Slide Deck)

This is a comprehensive document that details how an enterprise wide shared services model for data management could transform IT business synergy, while creating increased ROI. The strategy document details:

1. Common Issues when adequate data architecture & governance processes are not in place
2. Business/IT Drivers for Shared Services Model for Data Management
3. Enterprise Data Management Framework ? Drive Shared Service Model
4. Factors Influencing Shared Services Enterprise Data Management (EDM) Strategies
5. Critical Success Factors for Shared Service Enterprise Data Management (EDM) Implementation
6. Data strategy Overview
7. Shared Services Enterprise Data Platform ? Foundational elements
8. Conceptual architecture ? Big Data & IM & Analytics for enterprise data management
9. Architecture – Co existence of Hadoop & Relational databases
10. A Framework to Review & Assess Information Architecture
11. Target state view for Shared Services Enterprise Data Platform
12. Vision of Shared Services Enterprise Data Platform
13. Components of Shared Services Enterprise Data Platform
14. Data Quality as Service
15. Metadata Management Architectures – Why Centralized Metadata management?
16. Data Governance – Mobilize & Implement
17. Data Quality & Data Modeling
18. Multi-tenancy in Hadoop clusters for enterprise re-use of Hadoop data lake
a. Framework for Multi tenancy implementation
b. Metering and charge back
c. Disaster Recovery
19. Target Operating Model – Shared Services Model
20. Engagement Model – Initiating Data Program
21. Sample Organization Structure – Data roles
22. Innovation & Product / Vendor evaluation framework
23. Talent building framework
24. Agile Delivery Framework – comparative view with traditional BI Development
25. DW Testing – Agile Process Map

This PPT offers a deep dive into the critical success factors for implementing a shared services enterprise data management strategy. It addresses the importance of aligning culture, politics, and leadership with the operating model. It also emphasizes the need for senior management involvement and business participation to navigate organizational barriers. The document outlines a robust governance structure and compliance process, ensuring ongoing success. It highlights the foundational elements of a shared services enterprise data platform, including governance, architecture, quality, metadata, and security. The framework for reviewing and assessing information architecture is detailed, providing a comprehensive approach to optimizing data architecture, design, and technology.