Remove 2023 Remove Data Programming Remove Datasets
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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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Data Integrity vs. Data Quality: How Are They Different?

Precisely

) If data is to be considered as having quality, it must be: Complete: The data present is a large percentage of the total amount of data needed. Unique: Unique datasets are free of redundant or extraneous entries. Valid: Data conforms to the syntax and structure defined by the business requirements.

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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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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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Fueling Data-Driven Decision-Making with Data Validation and Enrichment Processes

Precisely

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

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Validation vs. Verification: What’s the Difference?

Precisely

When you delve into the intricacies of data quality, however, these two important pieces of the puzzle are distinctly different. Most of those same leaders don’t fully trust their organization’s data. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

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Spatial Analytics 101: Benefits, Use Cases, and Solutions

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.