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Five Reasons Automation Is Key to Data Governance

Precisely

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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From the Boots of a Former CDO

Precisely

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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Forging a Data Strategy for Success in Uncertain Times

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. However, they manage against those challenges by forging data strategies that employ technology to address constraints.

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In Uncertain Times, Data Integrity is More Important Than Ever

Precisely

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 data programs and priorities.

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Solving 5 Big Data Governance Challenges in the Enterprise

Precisely

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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Data Integrity for More Data-Driven Decisions in Financial Services

Precisely

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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The Precisely Approach to Enterprise Data Strategy

Precisely

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

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