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DGIQ-W23: Common MDM Pitfalls - Why Is MDM So Difficult?

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Common MDM Pitfalls - Why Is MDM So Difficult?

It’s no secret that Master Data Management is critical for improving data quality for an organization. And despite the continued focus on MDM, and the growth in MDM technology over the last few years, very few companies consider their MDM implementation to be successful. Why is that? Why is MDM so difficult?

I’ve spent the last 30 years working with clients on various data solutions, and I can tell you that there are a myriad of reasons why companies fail in the MDM space. In this session, I’ll be sharing some of the most common pitfalls that organizations make when trying to get it right.

Speaker: Amy Cooper

A 30-year veteran in data management, Amy Cooper is a Principal Consultant on the Dun & Bradstreet Data Advisory Services team. In her career with D&B and with Gartner, Amy has worked with the most complex organizations in the world, supporting Master Data initiatives at the enterprise and functional levels (sales, marketing, analytics, and finance). She offers strategic guidance in all phases of the Master Data Management journey, including best practices/disciplines that will increase speed to value. Her experience makes her uniquely qualified to engage from multiple perspectives, including executive, IT, and lines of business and across industries (Banking, High Tech, Manufacturing, and large Retail).