Data Quality 101

It’s no surprise that organizations still struggle with some level of bad data. Many haven’t yet initiated a data quality or data stewardship plan. Some may not even know where to start; who’s responsible for it; or how to sustain a data quality program over the long haul. Some may not even realize they have burning issues with their data – until it’s almost too late to fix the problem.

In our latest e-book, Data Quality 101: The Ultimate Guide for Data Stewards, written by leading industry analyst Elliot King, answers these questions and offers insight into the complex role of a data steward.

Highlights include:

How to create a data maturity model to effectively define, manage and optimize their data management and data quality activities
Who should be in charge of setting data quality goals
How to develop key performance indicators to measure data quality
Why justifying a data quality plan is important, and much more!