Most organisations can say, to the pound, euro, or krona, exactly what they spent last quarter. They know which customers are at risk of churning, which products are underperforming, and which invoices are overdue. Financial and customer data are among the most closely governed assets in the business.
Ask the same organisation who was actually working in each location yesterday, whether staffing matched demand, or where compliance risk is accumulating, and the answer is often far less certain.
The data usually exists. But it is fragmented across spreadsheets, paper rotas, time-and-attendance systems, payroll platforms, and manager inboxes. By the time it reaches senior decision-makers, it has often been manually reconciled, stripped of context, and rendered too old to act on.
This is the workforce data gap: a significant blind spot at the centre of an otherwise well-instrumented business, sitting precisely where a large share of operating cost and regulatory risk resides.
The problem is not that organisations have no workforce data. Most have an abundance of it. The problem is that it is rarely consolidated, current, or presented in a form that a COO or CFO can use.
What is typically missing is real-time visibility into:
Labour is frequently one of an organisation’s largest controllable costs. Yet decisions about it are still routinely based on lagging, manually reconciled information, while the systems around it – including ERP, CRM, and POS – increasingly operate in real time.
That mismatch is the workforce data gap.
Three developments have turned the gap from an operational frustration into something CFOs and COOs need to own.
IBM’s Institute for Business Value found that more than a quarter of organisations estimate that poor data quality costs them over $5 million a year, while 7% report annual losses of $25 million or more. It also found that 43% of chief operations officers consider data quality their most important data priority.
Workforce data contributes to cost forecasts, capacity planning, payroll, and compliance reporting. But it rarely receives the same governance as financial or customer data – despite informing decisions about one of the largest lines in the P&L.
Gartner’s CFO survey ranked metrics, analytics, and reporting as finance leaders’ top priority for 2025. It also found that more CFOs than at any point since 2014 were identifying enterprise growth and data strategy as central to their role.
For 2026, cost optimisation and forecasting accuracy again ranked among CFOs’ leading priorities (Gartner).
A CFO cannot forecast the largest controllable cost with confidence if the underlying data on hours, deployment, overtime, and demand is incomplete or weeks out of date.
Across several markets, employers are facing greater pressure not only to comply with working-time and employment rules, but also to demonstrate that compliance through accurate, accessible records.
That changes the consequences of fragmented workforce data. “We didn’t have visibility” is no longer simply an operational explanation; it can become evidence of inadequate control.
The precise risk varies by market, but the underlying problem is consistent: employers are being asked to make, document, and defend workforce decisions using data many still cannot access reliably.
Germany’s Federal Labour Court ruled in 2022 that employers must introduce a system for recording employees’ working time, following the European Court of Justice’s 2019 judgment on objective, reliable, and accessible time-recording systems.
Germany’s 2025 coalition agreement subsequently committed the government to introducing an electronic working-time recording requirement, while allowing appropriate flexibility for different business models. The detailed legislation and implementation timetable remain important considerations for employers.
For large, multi-site organisations, the operational challenge is already clear. If working hours are recorded inconsistently across locations or reconstructed retrospectively, proving compliance becomes slow, costly, and unreliable.
Since 1 July 2024, Danish employers have been required to operate an objective, reliable, and accessible system for recording each employee’s daily working hours. The requirement is intended to demonstrate compliance with protections including the 11-hour daily rest period and the 48-hour average working week (Bird & Bird).
For organisations without connected workforce systems, this creates a recurring reconciliation burden. Records may technically exist, but proving that they are complete and reliable across every location is another matter.
The proposed Wet meer zekerheid flexwerkers, submitted to the Dutch parliament in May 2025, would significantly reform flexible employment. Its measures include replacing zero-hours and min–max contracts with more predictable arrangements and changing the rules governing successive fixed-term contracts (Loyens & Loeff).
Whatever the final form and implementation date, the direction of travel is clear: employers will need a more accurate, auditable view of the relationship between contracted, guaranteed, scheduled, and actual hours.
Organisations unable to produce that view at employee level will find both compliance and workforce planning increasingly difficult.
CIPD and Railpen’s 2025 review of FTSE 100 annual reports found that only 38% of companies disclosed employee turnover rates, 15% reported an absence rate, and just one disclosed recruitment costs (CIPD).
External disclosure does not reveal everything an organisation measures internally. But the findings point to a broader governance problem: workforce information is still not consistently treated as decision-grade business data.
Without common definitions and dependable reporting, leadership teams cannot easily compare performance, understand the cost of workforce instability, or judge whether interventions are working.
Across the Nordics, the workforce data gap often appears as a capacity-planning problem.
Norway’s public employment service estimated that businesses were short of 39,000 workers in 2025, including approximately 11,450 across health and social care (The Local). Finland has also reported shortages across a substantial share of occupations (DLA Piper).
Sweden’s approach to healthcare funding illustrates how workforce data is becoming central to the response. Its national accountability framework links a significant share of regional funding to measurable workforce outcomes, including the balance between permanent staff and agency hours, supported by regular public reporting (OECD).
When labour is scarce, organisations need to know not only how many people they employ, but how effectively available skills and hours are being deployed. Without that visibility, shortages are harder to quantify, predict, and address.
The US Department of Labor’s Wage and Hour Division recovered more than $259 million in back wages for almost 177,000 workers during the 2025 fiscal year – its highest annual recovery since 2019. That equates to an average of approximately $1,465 per affected worker (US Department of Labor).
The figure shows the financial scale of wage-and-hour non-compliance. Fragmented scheduling, time, overtime, payroll, and employee-classification data can make such errors more difficult to detect internally – allowing exposure to grow until it is identified through a complaint, audit, or investigation.
Closing the gap does not begin with another dashboard. It begins with treating workforce deployment data with the same discipline as financial data: governed consistently, refreshed continuously, and connected to the systems that run the wider business.
In practice, that requires three things.
Workforce data must connect with payroll, ERP, POS, HCM, and demand-planning systems rather than remain trapped in a standalone scheduling tool.
That allows leaders to see labour cost, deployment, demand, and output together – using information that is consistent across finance, operations, and HR.
Working-time breaches, missed rest periods, overtime thresholds, and contractual risks should be identified while schedules are being created and updated – not discovered during a retrospective review.
Compliance becomes more manageable when it is embedded in the data and decision layer rather than added at the end of the process.
Site managers need practical tools for running shifts. Senior leaders need something different: a cross-site view of cost, demand, capacity, performance, and risk.
A manually consolidated collection of local spreadsheets is not leadership-grade intelligence – particularly when it is already several weeks out of date by the time it reaches the executive team.
Retail, logistics, hospitality, and healthcare organisations that close the workforce data gap gain more than better reporting.
They can forecast labour costs more accurately, respond to changing demand sooner, use scarce skills more effectively, and identify compliance exposure before it becomes a regulatory or financial event.
The workforce is already one of the largest investments and sources of risk on the balance sheet. The data used to manage it should be held to the same standard.
See how Quinyx gives leadership teams real-time visibility into workforce performance.