Documentation / QueryTek Tapestry glossary / Workforce Data
Workforce data is the set of records describing who works for an organization and under what terms — role, level, organizational placement, employment status, compensation, and history. It is personal data about identifiable people, and it is normally distributed across several systems.
The term covers records rather than a system. Any given fact about an employee typically lives in a payroll system, an HR system of record, a learning platform, and one or more local spreadsheets, in versions that do not always agree.
Three properties distinguish workforce data from most operational data.
It is personal data. Almost every field identifies someone, and some fields — compensation, demographic attributes, performance history — are sensitive in practice regardless of how a regulation classifies them. Purpose limitation and access control are not optional refinements.
It is heavily distributed. No single system holds a complete picture. Reporting on pay by role and sex requires job architecture from one system, demographics from another, and compensation from a third, each with its own update cadence.
It is temporal. Employment relationships change constantly. A question about pay at a point in time is a question about historical state, not current state, and systems that overwrite rather than version cannot answer it.
The distinction people miss is between having the data and being able to answer with it. Most organizations hold every field a pay report requires. What they lack is agreement between systems on which roles are comparable and which organizational unit a person belonged to during the period — which is why the reporting effort is a reconciliation exercise rather than a query.
Transparency and equal pay obligations are effectively data obligations. Reporting on pay differences between groups of employees doing work of equal value depends on consistent job architecture and reliable demographic records; where those disagree between systems, the resulting figure is not defensible even when each individual system is correct.
The privacy exposure runs in the same direction. Assembling workforce data for reporting concentrates sensitive personal data, which raises the cost of getting access boundaries wrong precisely when more people need access.
QueryTek Tapestry connects the systems that hold workforce data so organizational and eligibility context stays consistent across them rather than being re-derived in each. Records remain within the platform's tenant boundaries. Field-level schemas, retention configuration, and customer data mappings are established during onboarding and are not published.
Disclaimer: The information presented in this article is for general informational and educational purposes only and should not be construed as legal, regulatory, human resources, or payroll advice. The EU Pay Transparency Directive (Directive (EU) 2023/970) is subject to national transposition across EU Member States, resulting in varying local statutory requirements, effective dates, and reporting thresholds. Compliance requirements are dictated by the specific local employment laws governing each candidate or employee, regardless of an organization's primary place of business. This content may not reflect the most current legislative developments in every Member State. Organizations should seek tailored advice from qualified legal or employment specialists in the applicable jurisdictions prior to modifying compensation, recruitment, or reporting practices. Publication of this material does not establish an attorney-client, fiduciary, or professional advisory relationship.
