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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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What is Data Enrichment? Best Practices and Use Cases

Precisely

But what do you do with all that data? 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.

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The Chief AI Officer: Avoid The Trap of Conway’s Law

Ascend.io

The Chief Data Officer on the other hand maintains the data groundwork upon which these AI initiatives thrive. Their realm is the data that their business generates and relies upon, including data from customers and partners. Read More: The State of Data Engineering in 2023: Does Your Data Program Stack Up?

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

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The Role of Technology in Making Data-Driven Strategic Decisions

Precisely

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.”