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7 Steps to Develop Your Master Data Definitions

One of the first steps to starting an MVP data governance program is to establish a standard set of definitions to follow when working with the data.

Don't Get Stuck in the Data Quality "Yo-Yo Diet"

Data quality initiatives can feel like a yo-yo-diet, with ups and downs. Four best practices to help make your quality efforts repeatable, efficient, and effective.

The Three P’s Framework for Master Data

Utilizing this basic framework to organize a master data strategy, companies can improve the efficiency of their master data projects and attain business value faster.

Data Talks, Episode 1: The Life and Death of a Business

Understanding the “life cycle” of a business can help us better interact with customers, suppliers, and prospects

Southwest's Meltdown Is a Wakeup Call to Data Leaders

Southwest Airlines' challenges teach us that organizations need to adopt a data-centric approach to IT modernization, investing in data first and in IT second.

Data Talks, Episode 3: The D-U-N-S Number Speaks Out

Join us as we give voice to the D-U-N-S number: What it is, what it's used for, what it represents, how it's used, and much more!

Data Talks Episode 21: Assessing MDM Software Choices

Even with a data-centric approach, MDM software remains an integral part of most organizations’ solution stack; you need to know how the available options address your needs.

The Importance Of Data Across Government In A Post-Covid World

Zowie Lees-Howell reflects on our Virtual Government Briefing & the key takeaways on the importance of data in a post-COVID world.

Data Talks Episode 18: What COVID-19 Taught Us About Matching

COVID-19 has forced companies to reevaluate their business processes. The rules they use to automate identity resolution are no exceptions.

Data Talks, Episode 5: Improving Match Accuracy and Confidence

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