In the 21st century, the majority of data managers and consumers understand the importance of accurate robust data. We know that our data warehouses, CRM systems, ERP systems, and business intelligence reports are compromised if the data we feed them is suspect. To realize the full benefits of their investments in enterprise computing systems, organizations must have a plan how to monitor, cleanse, and maintain their data in a quantified state.

 

Highlights of What You'll Learn:

  • The five essential aspects of a data quality strategy
  • Three common pitfalls to identifying business value for cleansing and maintaining data
  • How to map corporate goals to data quality objectives
  • The three primary data connectivity options
  • The must have components in your data flow analysis
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