Webcast : ER/Studio Enterprise Team Edition

In recent years, the evolution of underlying data warehousing, data integration, and data preparation technologies has facilitated the evolution of the enterprise data warehouse from a conceptual “data dump” into a thoughtfully structured set of capabilities for data analyst enablement. However, sophisticated end-users have a greater need for precision and accuracy when designing a business intelligence solution. Some particular challenges include understanding analyst expectations, identifying and managing information sources, ensuring consistency across different data sources, and maintaining relationships among different pieces of information.

The key to addressing these challenges is knowledge – knowledge about the enterprise data landscape, knowledge about the processes and procedures for accessing and consuming information, and knowledge about the “data mechanics” employed to ultimately produce a usable reporting and analytics environment. In this Geek Sync, David Loshin explores three aspects to managing this enterprise data knowledge: the collection of data intelligence, its organization and enhancement, and facilitation through use. David will then discuss how an enterprise data catalog synergizes these aspects and helps analysts determine which enterprise data assets are best suited for any specific business scenario’s reporting and analytics needs.