For the best web experience, please use IE11+, Chrome, Firefox, or Safari

The State of Data Intelligence Report

The State of Data Intelligence highlights key insights from erwin by Quest’s annual survey research of 220 IT and business respondents on current data intelligence initiatives and planned investments.

Developed October 2024 by Enterprise Strategy Group, the 25+ page research report provides current benchmarking data and guidance to help you identify impactful data intelligence strategies and prioritize future technology investments.

AI Governance – The State of Data Intelligence, October 2024 04:24

Key Report Topics to Help You Plan for 2025 Initiatives and Beyond

  • Leading data intelligence challenges, strategies and impacts
  • The emergence of AI governance and AI data readiness efforts
  • The growing role of data products, data modeling and data marketplaces

Sample Findings in the Report

 

“Organizations are seeing the business returns of focusing time and investment in data intelligence programs when a clearly articulated data intelligence strategy is in place,” said Stephen Catanzano, senior analyst at Enterprise Strategy Group.

“The challenge for organizations today is to balance their attention between getting more business value from reliable data right now while at the same time laying the groundwork to reduce the risk from and accelerate value from future AI use.”

AI is firmly in sight for governance teams and data intelligence initiatives

AI is firmly in sight for governance teams and data intelligence initiatives

Improving data quality (42%), security (40%), and analytics (40%) remain top data governance drivers. In 2024, ensuring data readiness and quality for AI (34%) debuted as the fourth most cited driver of data governance programs.
Data marketplace adoption is surging and yielding strong business benefits

Data marketplace adoption is surging and yielding strong business benefits

Data marketplace adoption is up 71% year-on-year, with 95% of organizations either planning to create or already have a self-service data marketplace; 78% of respondents cited significant or game-changing benefits, with internal data marketplace users reporting a 2.6x decrease in experiencing a “skills gap” as an obstacle to strategic use of data.
Data modeling is the foundation for data product delivery and collaboration

Data modeling is the foundation for data product delivery and collaboration

Today, 84% of organizations are delivering data products, with 86% modeling their data. Of these, 71% view data modeling as crucial or transformative for enhancing data product delivery and fostering collaboration. Additionally, 86% plan to invest in data products in the next 12 to 24 months.

Get the Report

Benchmark your organization’s data intelligence, AI governance and data product delivery efforts against peer companies and plan for your future.