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

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. This gap underscores the urgent need for better data foundations.

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

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. This gap underscores the urgent need for better data foundations.

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

Precisely

Data observability: P revent business disruption and costly downstream data and analytics issues using intelligent technology that proactively alerts you to data anomalies and outliers. Data quality : Data must be complete, unique, valid, timely, and consistent in order to be useful for decision making.

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From Data Quality to Data Integrity: The Path to Trusted Data

Precisely

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity.

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Why Data without Context Lacks Integrity

Precisely

That gives decision-makers visibility to the “whole truth” of their enterprise data. Analyst Report 2023 Data Integrity Trends and Insights Precisely partnered with Drexel University’s LeBow College of Business to survey more than 450 data and analytics professionals worldwide about the state of their data programs.

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What is Data Enrichment? Best Practices and Use Cases

Precisely

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

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Location Intelligence Trends for 2024

Precisely

Insurance: gain a comprehensive view of property risks. Insurers can use location intelligence to help inform optimal policy pricing and prevent fraudulent claims (for example, if you know a location didn’t get hail on a particular Tuesday, you can challenge a claim that states otherwise).