Remove 2023 Remove Data Observability Remove Data Silos
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Data Integrity vs. Data Quality: How Are They Different?

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For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

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Data Program Investments are Yielding Business Value

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The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Data-driven decision-making is the top goal for 77% of data programs. The results are in!

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Data Integrity Trends for 2024

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In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

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Trustworthy AI, Powered by Trusted Data

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At the 2023 Gartner IT Symposium Research Super Focus Group, only 4% say their data is AI-ready. To achieve trustworthy AI outcomes, you need to ground your approach in three crucial considerations related to data’s completeness, trustworthiness, and context. You’re not alone.

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How to Stay Ahead with Sustainable Compliance for Financial Services

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The Need for Sustainable Compliance This swirl of macro trends has majorly impacted businesses in financial services and across industries – and the effects can be seen in data strategies. Monitoring and improving business quality rules and technical quality rules to define what “good” looks like.