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How to Build a Data Quality Integrity Framework

Monte Carlo

Some of the data security processes you might choose to operationalize within your data integrity framework include monitoring access controls and maintaining audit trails to understand who’s accessing the data and when. So, how do you know when someone’s been feeding the data after midnight?

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Know Before You Go – Trust ’23: the Precisely Data Integrity Summit

Precisely

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. How can the power of data validation and enrichment transform your business?

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Customer Master Data 101: Challenges and Solutions

Precisely

And yet, despite the value of customer master data, managing it effectively presents its own challenges – with factors like manual error-prone processes diminishing its accuracy and trustworthiness. Read What are the Top Challenges of Managing Customer Master Data?

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How Leaders of the Modern Marketing Data Stack Differentiate Themselves in a Crowded Market

Snowflake

Running an entire app within the brand’s Snowflake account For many brands, sharing access to data with third parties, even if the data resides within their data platform, presents security and data governance concerns that can take months to overcome or prevent an organization from adopting the technology.

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Data Warehouse Migration Best Practices

Monte Carlo

As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. In the old days, data warehouses were bulky, on-prem solutions that were difficult to build and equally difficult to maintain. And how you plan for it is the first step to success.