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If the data strategy has been defined, the next decision is to build a data platform to enable reporting and analysis. If the need requires building multiple data marts, it may be worth considering a data warehouse that has a wider scope of data integration. Some use cases are listed below:

  • Individual data marts have been built to support multiple market operations but reporting across these operations, for a global view is not possible
  • If the need is to have a flexible data platform to enable any type of reporting
  • If multiple data marts are required to, support current reporting and analytical needs

The expected deliverables can be (but not limited to) as below:

  • Project Management
  • Understanding and agreement of requirements
  • Establishing roles and responsibilities
  • Audit of data and systems landscape
  • Project proposal and agreement of scope and costing
  • Data collection and analysis, and review of scope
  • Feed building and management
  • Data warehouse architecture design and management
  • Data warehouse design, development, testing and deployment

Depending on the maturity of processes, this type of approach can be delivered within 2-3 years. However, this does NOT MEAN that nothing is delivered until then. A good data strategy will ensure regular deliverables that generate immediate impact to the business in line with the data warehouse architecture