Data Warehouse Maintenance

Maintenance of a data warehouse is not an easy task. Critical maintenance issues can arise right from the requirements gathering phase (in the form of new functionality) to the implementation phase (defects fixing). Post implementation maintenance issues have to be addressed because they are critical to the success of a data warehousing project in the long run. Common maintenance issues such as improving query performance need to be tackled right from the rollout to ensure users are satisfied with performance. Hence a structured approach to maintenance was found necessary to address maintenance issues during the execution of data warehousing projects.
Enhancing a data warehouse is difficult with stovepipe data mart implementations. Lack of proper planning / requirements gathering could mean that a subject area / dimension is left out of the warehouse scheme. In such cases, the warehouse has to be suitably enhanced so that the user reporting / querying requirements are satisfied.

Our Structured scalable support model provides comprehensive maintenance solutions that ensures smooth operability of the warehouse, and is geared to provide flexible enhancements to warehouse architecture. We support end-to-end data warehousing projects as well as specific post implementation data warehouse maintenance or enhancement projects.