TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Enhancing Enterprise Data Warehouse Reliability Using Master Data Management

Webinar Abstract
Inconsistent data within an enterprise data warehousing (EDW) environment reduces the effectiveness of a business intelligence (BI) capability. The EDW return on investment is eroded through a general lack of trust in its data, leading to delayed decisions, increased reconciliations, and costly errors. An emerging approach to addressing data reliability challenges called master data management (MDM) leverages a unified view of business-critical data, which is used across many disparate applications, into a master data repository and then synchronizing that data between both operational and analytic environments. Instituting an MDM program together with a business intelligence program and aligning master data with the data warehouse enables consistent results from the organizational business intelligence and helps realize the ROI without requiring a significant increase in the data warehouse investment.

What you will learn:

• Analytic usage scenarios for master data
• Centralization and harmonization of critical reference data sets and hierarchies
• Leveraging master data management techniques for structural and semantic harmonization
• How master data increases EDW ROI and reduces time to value

David Loshin

Sponsored by Informatica Corporation