Data warehouse modernization programme by IBM

The business objectives are to reduce operating expenses for data warehouses by 25-30%, deliver 10x the measurable business value, double IT project capability, and integrate existing data warehouse systems with new technology to offload data, reduce latency, reduce costs and improve performance. To achieve this GM will design, build and implement an enterprise data warehouse with a high performance and continuously available data management environment.

The environment will accommodate approximately 329,000 users with a 10% concurrency rate, and grow to approximately one petabyte in size over three years. IBM proposed a solution that is based on a single, centralized enterprise architecture leveraging a traditional data warehouse the combined power of a traditional data warehouse matched with IBM Big Insights Hadoop technology for big data analytics. This includes high volume data integration tools and technologies.

This is a good example of modernisation of a large data warehouse as part of an initiative to put data into the heart of the business.