RESEARCH & RESOURCES

Developing a Data Quality and Integration Strategy

Webinar Abstract
Data transformation, cleansing, and integration is the most difficult part of a business intelligence project. A comprehensive approach that carefully considers both the quality expectations and the quality of the source system data helps to bring this activity to a manageable level. This session explains how to establish data quality expectations, the importance of data profiling for understanding and proactively addressing data quality deficiencies, and how to develop a strategy that employs these in planning the data integration activities.

What you will learn:

  • How to establish data quality expectations
  • How to understand the existing data quality and determine needed actions
  • Options for addressing data quality deficiencies within the data integration processes
  • Key components of a data quality and integration strategy

Jonathan Geiger

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