The 2025 Outlook: Data Integrity Trends and Insights report is here!
What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in the report, published in partnership between Precisely and Drexel University’s LeBow College of Business.
This year’s report is filled with actionable strategic insights from over 550 leading data and analytics professionals worldwide – and it’s going to be an essential resource as you plan your 2025 data strategy.
One major finding of this year’s report is that the skills gap widens amid rapid technological development, hindering artificial intelligence (AI) readiness for many organizations. In fact, 60% of respondents cite a lack of skills and resources as an AI adoption challenge.
Let’s explore more of the report’s findings around the impact of these skills and resource shortages.
<
2025 Outlook: Essential Data Integrity Insights
What’s trending in trusted data and AI readiness for 2025? The results are in!
Skills and Resource Challenges are on the Rise
Artificial intelligence (AI) is redefining how organizations harness data, enabling innovation, optimizing operations, and uncovering insights that drive competitive advantage. To thrive in this rapidly evolving landscape, organizations must continually adapt by cultivating new skills and attracting top talent.
The growing shortage of professionals skilled in data management and AI implementation presents a significant obstacle for organizations. Without the expertise to effectively harness data or scale AI initiatives, businesses risk vulnerability and missed opportunities for innovation, growth, and efficiency.
As the demand for data-driven decision-making has grown, so has the shortage of skills and resources needed for data management, analytics, and AI.
More respondents this year (42%) say a shortage of skills and resources is one of their biggest data program challenges, compared to 37% in 2023. Sixty percent (60%) of respondents cite a lack of employee skills and training in AI as a primary reason for their unpreparedness for AI initiatives.
This year’s survey also reveals that a shortage of skills and staff (42%) is the biggest challenge hindering organizations from achieving high data quality. This gap in expertise and resources is consistently identified as the primary barrier to maintaining accurate and reliable data.
Elevate Your 2025 Data Strategy
How does your data program and level of AI readiness compare to your peers’? Do you have the data integrity needed to achieve and exceed your business goals? Get all the insights and inspiration you need for a winning data strategy in the 2025 Outlook: Data Integrity Trends and Insights report.
