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Data Program Investments are Yielding Business Value

Precisely

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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The State of Data Engineering in 2023: Does Your Data Program Stack Up?

Ascend.io

This means not only understanding where you stand, but also recognizing how the evolving patterns in the broader industry might align with or diverge from your own data programs. Over the past four years, we have conducted an industry-wide DataAware Pulse Survey to capture the current state of data teams.

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Forging a Data Strategy for Success in Uncertain Times

Precisely

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. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

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Poor Data Quality is Pervasive, Impacting Trust in Data and Success Across Data Programs

Precisely

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. Let’s explore more of the report’s findings around the challenges and impacts of poor data quality.

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Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

And yet, only 12% of organizations report that their data is of sufficient quality and accessibility for effective AI implementation. What are the primary data challenges blocking the path to AI success? Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

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Data Integrity vs. Data Quality: How Are They Different?

Precisely

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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Validation vs. Verification: What’s the Difference?

Precisely

Most of those same leaders don’t fully trust their organization’s data. According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data & analytics professionals say that data-driven decision-making is a leading goal for their data programs.