DGIQ-W23: 5 Factors That Cause Data Quality Projects to Fail (And How to Overcome Them)

**This is Subscription-Only Content, It is NOT purchasable as a separate product**

Data quality approaches that take too long to produce results cause cost overruns, users to lose confidence, and business initiatives to fall further behind. Unless you consider these five factors in relation to your data quality approach, your project can drag on and on until it ultimately fails. In this session, Innovative Systems will share the key reasons that data quality projects fail and how the Enlighten® Data Quality Suite of products provides all the capabilities you need to overcome them.

You’ll come away knowing how to: 

  1. Significantly reduce the personnel required to achieve enterprise data quality
  2. Spend far less time manually reworking data
  3. Minimize the risk of time and cost overruns
  4. Achieve data quality goals much faster
  5. Shorten time-to-market for achieving your business objectives

Speaker: Michael M. Ott
Senior Vice President
Innovative Systems, Inc.

Michael M. Ott is a Senior Vice President of Innovative Systems, Inc., a global leader in the development and delivery of Data Quality, Data Management, and AML compliance solutions. Mr. Ott has extensive experience in executive management, marketing, business development, product management, and software development. For 30-plus years, Mr. Ott has been involved in managing the delivery of 360° View, MDM, risk management, data governance, and data quality consulting and solutions to some of the largest companies in the world. He frequently speaks on topics related to achieving better business results through more effective data management and data governance approaches. 

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