Remove Data Analytics Remove Data Governance Remove Data Programming
article thumbnail

Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

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.

article thumbnail

Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. To truly succeed in an increasingly data-driven world, organizations need data governance.

article thumbnail

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.

article thumbnail

Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

When you consider that 60% of organizations this year say that AI is a key influence on their data programs (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?

article thumbnail

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.

article thumbnail

From Data Quality to Data Integrity: The Path to Trusted Data

Precisely

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity.