Greater than three-quarters of magnate say they’re under growing pressure to drive service value with data, according to a Salesforce record, but several leaders claim their data is commonly outdated, incomplete or poor quality.

Salesforce’s” State of Information and Analytics record (enrollment required) located that while business leaders are eager to make use of AI for appearing understandings and increasing employee initiatives, technical leaders state brand-new information and analytics approaches are needed.

This isn’t a new issue. Problems with information quality, silos and incompleteness have afflicted companies for years But urgency is growing as organizations seek to deploy independent AI agents, which rely on information and operate with less human oversight than earlier tools.

According to the Salesforce report, 84 % of information and analytics leaders believe their data approaches need a full overhaul before their AI passions can do well.

Other findings include:

• 63 % of magnate define their organizations as data-driven, up 10 points from 2023
• 63 % of information and analytics leaders claim their firms have a hard time to use information to drive business top priorities, highlighting a gap in between perceived and actual data maturity.
• 49 % of business leaders state they can reliably create prompt understandings.
• 49 % of information and analytics leaders claim their business occasionally or regularly draw wrong verdicts from information doing not have business context.

Information problems harming AI implementation prepares

The report likewise found that while 67 % of information and analytics leaders feel stress to carry out AI promptly, 42 % lack complete confidence in the precision and significance of AI outputs.

The dangers of feeding inadequate data to AI are significant. The record discovered that 89 % of data and analytics leaders with AI in production have experienced imprecise or deceptive outputs. Among those training or fine-tuning their own models, 55 % record squandering significant resources because of poor information.

Data high quality’s influence on AI adoption– specifically agentic AI– is a growing issue for Salesforce as it broadens its Agentforce platform. However Salesforce isn’t the just one appearing the alarm system.

KPMG’s AI Quarterly Pulse Survey for Q 2 2025, released in July, discovered concern over data quality increased greatly, from 56 % in Q 1 to 82 % in Q 2

Cloudera’s April 2025 record, “The Future of Enterprise AI Representatives,” which checked nearly 1, 500 IT leaders throughout 14 nations, discovered that 96 % plan to expand use of AI representatives over the following year. Information management and administration remained crucial worries for that gruop, with 53 % of leaders pointing out information privacy and 40 % mentioning combination with legacy systems as obstacles.