The document discusses common issues companies face when trying to meet business reporting needs from their data. It notes that companies often end up with thousands of reports due to: 1) Building reports directly from transactional data sources rather than consolidating data into a data warehouse optimized for analysis and reporting. 2) Creating denormalized tables within the data warehouse for each individual report, leading to inconsistent, hard to manage data. 3) Resolving this by building separate data marts with a dimensional model, but this still resulted in fragmented, redundant data structures. The ideal approach would have been to design a single centralized data warehouse from the start using a dimensional model to provide a consistent, integrated view of

1. Data Provisioning An Enterprise and Business Perspective

2. Problem Statement…. “ There's too much data and it's duplicated hundreds of times. The mistake companies make is that they start from the data they have. They need to ask what data do their users need and what are the questions they are asking. Understand the questions, how they can be answered and what kind of data is needed.” Quote by CIO of Major Corporation

7. Report developers worst Nightmare……

10. Dimensional Modeling: Star Schema

13. Data Provisioning Life-Cycle

19. Information Pyramid: What, When & Where? 0 1 2 3 4 5

24. What would you have done differently?