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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. One major finding?

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

Precisely

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. Low data quality is a pervasive theme across the survey results, reducing trust in data used for decision-making and challenging organizations’ ability to achieve success in their data programs.

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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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2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness

Precisely

The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers?

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2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

Precisely

Data quality is the top data integrity priority in 2024, cited by 60% of respondents. The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers?

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

With the surge of new tools, platforms, and data types, managing these systems effectively is an ongoing challenge. Organizations are realizing that they don’t have a strong foundation and their data is not ready [for AI]. This gap underscores the urgent need for better data foundations.

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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? What are the primary data challenges blocking the path to AI success? What makes data governance’s role so pivotal?