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Monthly Archives: December 2019

Three ways to justify a data management initiative at your financial institution

Jordyn Tetler Data quality

Data is only as good as the quality behind it. The saying ‘garbage in, garbage out’ holds true. If you use inaccurate data for analytics, customer insight, or reporting, your institution is open to poor customer experience, inefficiency, or even non-compliance. While many agree that trusted data is a must, not everyone is making the investments needed to make that a reality. Here are three ways to justify a data management initiative within your institution.

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Data quality before data governance

Focused on the needs of government agencies, the DGVision conference empowered federal employees with new insights, best practices, and education around starting and optimizing data governance initiatives. Experian joined business leaders in both private and public sector companies for meaningful conversations about all things data governance.

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Email validation: Why you want quality versus quantity

To ensure successful email delivery, reduce the chances of being filtered out by an email service provider (ESP), and avoid becoming blacklisted as a spammer, organizations need to ensure the accuracy of the email data held in their mailing lists. Learn more about Experian’s industry-leading technology which verifies business domains, international domains, and consumer domains like Yahoo!, Gmail, Hotmail, and more.

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How to justify and support your data governance initiative

We find a growing number of businesses are either looking to start or optimize data governance programs to better control data, but at Data Governance Winter Conference, we learned that there are often two major roadblocks to implementing or optimizing your data governance program.  Explore how you can navigate these challenges. 

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