Run payroll and attendance as usual
The dashboards read records the platform already holds. There is nothing to configure and no data to load.
Headcount, attrition and payroll cost sit alongside contribution breakdowns and your recruitment pipeline, all drawn from records you already hold. There is no warehouse to build and nothing to export.
WORKSPHR calculates every figure from records the platform already holds. There is no warehouse to build, no connector to maintain, and no window in which the dashboard and the payroll register disagree.
Headcount and attrition on the same dashboard as the payroll and contribution reporting below, sliced by department, branch and employment type, and drawn from the same employee and payroll records as everything else on this page.
The dashboards read records the platform already holds. There is nothing to configure and no data to load.
Filter by department, branch, location and period. Most HR questions are about a slice of a figure you already hold, so the filter is the analysis.
Pull a view into a board pack, or set up a scheduled report that arrives by email on a fixed cadence so nobody has to remember to produce it.
HR reporting usually fails not because the calculations are hard, but because three systems each hold their own version and none of them agree.
Most reporting problems are timing problems. Because the dashboards read the same records payroll and attendance write, there is no extract window in which the figures go stale, and no connector to break when something upstream changes.
Accrued convertible leave is a real liability that usually gets valued once a year, by hand, under time pressure. Here it is available at any point, at each employee's current rate, using the same valuation the final pay run applies, so the two never disagree.
Learn more about leave managementHR analytics reads the records that payroll, attendance and leave already write. No warehouse, no connector, nothing to reconcile.
Book 30 minutes with our Pampanga-based team. We will answer it against your own structure rather than a demo dataset.