One-third of organizations lack the data foundations needed to make reliable workforce decisions, despite rising investment in HR technology, a new survey distributed through Business Wire found.

The finding points to a widening gap between what employers are buying and what they can actually use. Spending on HR tech continues to grow, but in a substantial share of organizations the underlying data architecture — the systems, standards and quality controls that feed analytics tools — cannot support dependable answers to basic workforce questions.

What does this mean for HR decision-making?

The practical consequence is direct: analytics dashboards, headcount planning tools and skills-tracking platforms only produce trustworthy output when the data beneath them is consistent and governed. Where that foundation is missing, HR leaders face three recurring risks:

• Workforce decisions — hiring, retention, mobility — rest on incomplete or inconsistent records.
• Executive reporting loses credibility when numbers from different systems do not reconcile.
• New technology investments underperform because they automate flawed inputs rather than fix them.

For people-process owners, the survey result is a prompt to audit data readiness before approving the next tool purchase. Capability questions — can the vendor's platform work with our current data quality, and what governance does it require? — matter more than feature lists.

Why investment alone is not closing the gap

The survey's core tension is that money is flowing into HR technology faster than organizations are building the data disciplines to exploit it. Buying a platform is a procurement decision; establishing a single source of truth for employee records, job architecture and skills data is an operating-model decision that spans HR, IT and finance.

That distinction explains how spending can rise while one in three organizations still lacks reliable foundations. Technology multiplies whatever data quality already exists — in both directions.

What should employers do next?

Organizations in the struggling third face a sequencing problem. The data suggests the order of operations matters: foundational data work first, tool selection second. For employers already deep in HR tech rollouts, the finding argues for a parallel remediation track — identifying which decisions currently depend on unreliable data and prioritizing those datasets for cleanup.

As HR tech budgets continue to grow, the competitive divide the survey implies is likely to widen between organizations that can trust their workforce numbers and those still building the foundation beneath them.