Data Governance Data Programming Datasets 
Precisely
MARCH 13, 2023
Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. In many organizations, that simply isn’t the case.
Precisely
SEPTEMBER 8, 2023
According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs. Automating functions in support of data governance provides a range of important benefits.
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Precisely
JUNE 29, 2023
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?
Precisely
NOVEMBER 18, 2024
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.
Precisely
NOVEMBER 18, 2024
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.
Precisely
JULY 12, 2024
) 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.
Precisely
JULY 17, 2023
Data-driven decision-making has never been more in demand. A recent survey found that 77% of data and analytics professionals place data-driven decision-making as the leading goal for their data programs. And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.”
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