Problem - Business Change Often Outpaces Enterprise Data Warehouse Evolution
Supporting critical, yet ever changing information requirements in an environment of ever increasing data volumes and complexity is a challenge well understood by large enterprises and government agencies today.
This inexorable pressure has and will continue to drive the demand for enterprise data warehouse centric solutions, as an array of business intelligence, predictive analytics, data and content mining, portals, and other key applications rely on data sourced from enterprise data warehouses.
However, business change often outpaces enterprise data warehouse evolution. And while useful for physically consolidating and transforming a large portion of enterprise data, significant volumes of enterprise data continues to reside outside the confines of the enterprise data warehouse. Further, enterprise data warehouses themselves require support throughout their lifecycle, driving demand for solutions that prototype, migrate, extend, federate and leverage enterprise data warehouse assets.

Extend data breadth to enrich your reporting and analytics
Solution – Use Composite Data Virtualization Maximize Value of Enterprise Data Warehouses
Composite data virtualization complements enterprise data warehouses by providing a range of flexible data integration techniques that let you preserve and extend existing enterprise data warehouse investments.
- Extending Data Warehouses
- MDM Hub Extension – 360 View
- Data Warehouse Federation
- Hub & Virtual Spoke
- Enterprise Architecture
- Complementing ETL
- Data Warehouse Prototyping
- Data Warehouse Migration
