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Data Warehousing

Wide pool of resources you can choose

Big Data ready hardware IT infrastructure

Years of experience gives you best practices

Knowledge and expertise in Big Data tools

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.


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

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