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Key Takeaways: Interest in datagovernance is on the rise 71% of organizations report that their organization has a datagovernanceprogram, compared to 60% in 2023. Datagovernance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).
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Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and datagovernance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and datagovernance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.
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According to a recent report from Drexel University’s LeBow Center for Business Analytics , 77% of data and analytics professionals say that data-driven decision-making is an important goal of dataprograms. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.”
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When you consider that 60% of organizations this year say that AI is a key influence on their dataprograms (up 46% from our 2023 survey), it’s clear that strategic investments must be made to ensure their data is ready to fuel AI’s fullest potential. What are the primary data challenges blocking the path to AI success?
According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data and analytics professionals say that data-driven decision-making is a leading goal for their dataprograms. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”
Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and datagovernance expertise. In 2006, I joined Business & Decision, a French consulting agency with a European presence, to develop a data quality line of business.
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The Importance of Data Integrity in Uncertain Times To better understand how businesses are adapting to the new normal, Precisely partnered with Drexel University’s LeBow College of Business to survey more than 450 data and analytics professionals from around the world about their current dataprograms and priorities.
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