Workforce data was spread across Oracle, Payroll, Workday, spreadsheets, and local reporting processes in multiple countries and business units. HR, Finance, and business leaders reached different numbers from different systems. PivotX established shared workforce definitions, automated reporting, and a standardized process for adding new business units and geographies.
A global business services company serving more than 150 brands had workforce information on more than 34,000 employees living in Oracle, Payroll, Workday, spreadsheets, and local reporting processes across countries and business units.
Recruiter productivity was tracked through spreadsheets and email. Onboarding varied by region. Monthly reporting required extensive manual work without producing numbers that leadership consistently trusted.
Before working with PivotX, the company's Oracle, payroll, and Workday systems counted employees, roles, and offers differently. HR, Finance, and business leaders therefore received conflicting workforce numbers.
PivotX built a data foundation on Google Cloud with shared definitions for active headcount, open roles, offer acceptance, and other workforce measures.
HR, Finance, and business units now produce reports from the same underlying definitions.
Before PivotX's involvement, teams maintained separate spreadsheets because they did not trust the official reports. Monthly reporting required extensive manual reconciliation, and onboarding processes varied by region.
PivotX created Power BI dashboards that update as source data changes. Google AgentSpace allows users to query the workforce data directly, while standardized onboarding and duplicate detection replace regional email-based processes.
Teams no longer need parallel spreadsheets to track workforce numbers. New business units and geographies can also be added without rebuilding the reporting environment.
Your HR, Finance, and business unit leaders routinely disagree on headcount because they are looking at different systems.
Monthly people reporting requires someone to compile and reconcile data before a report can be produced.
The data exists across your systems, but answering a specific question takes more effort than it should.
PivotX has taken companies from initial assessment to production-grade AI in weeks, not quarters. The cases below aren’t proofs of concept. They’re actual production.
We can review the manual steps, handoffs, and systems involved and identify a practical place to begin.