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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.
The 2023Data 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!
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.
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.
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.
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