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Solving 5 Big Data Governance Challenges in the Enterprise

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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 data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.”

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Five Reasons Automation Is Key to Data Governance

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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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The Role of Technology in Making Data-Driven Strategic Decisions

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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 data programs. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

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From the Boots of a Former CDO

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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 data governance 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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Data Integrity for More Data-Driven Decisions in Financial Services

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To deliver maximum benefits, these initiatives require an integrated, clean, accurate, contextualized, and enriched view of the data. Historically, data problems were addressed using point solutions that solve specific data challenges. That calls for a deeper understanding of data integrity and collaboration across silos.

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What is Sustainable Compliance?

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With the six components of sustainable compliance in mind, it becomes clear that compliance isn’t only a requirement – but an opportunity to optimize your data program and create operational efficiency and better risk management practices. understanding and managing customers and their data.