Providence Health Care · People analytics
HR Data Analytics
Explore workforce profiles, attendance patterns, staffing capacity and people team workflows through interactive dashboards.
Local demonstration · Sample data only
Choose a dashboard
- 01Workforce profile explorerWorkforce profile
- 02Staffing capacity scenariosStaffing capacity
- 03Recruitment catchment explorerTalent acquisition
- 04Absence & overtime trendsAttendance & overtime
- 05Staffing capacity monitorWorkforce capacity
- 06HR workflow simulatorHR operations
- 07Workforce demand scenario labWorkforce scenarios
- 08Overtime pressure explorerOvertime planning
- 09Workforce pattern monitorWorkforce patterns
- 10Learning & career pathwaysLearning & development
- 11Recruitment creative labTalent attraction
- 12Workforce retention scenariosRetention planning
Explore HR topics
Sample values show how these views could support HR analysis. Reference maps, images and simulation structures are retained where noted.
Workforce profile explorer
Compare sample employee groups, age, service, FTE and learning hours. Select a cohort to update the linked charts and summary metrics.
- headcount
- employee groups
- age & service
- learning hours
Staffing capacity scenarios
Explore simulated staffing gaps across demand and capacity assumptions. Move the comparison line to inspect the linked capacity profile.
- staffing gap
- scenario comparison
- capacity profile
Recruitment catchment explorer
Compare access to regional travel hubs for recruitment and workforce mobility. The original U.S. reference geography is retained for this interaction demo.
- recruitment reach
- travel hubs
- regional access
Absence & overtime trends
Compare four years of sample sick leave, overtime and unfilled shift hours, with rolling totals, thresholds and a monthly heatmap.
- sick rate
- overtime rate
- unfilled shifts
- annual comparison
Staffing capacity monitor
Replay a sample staffing capacity index, adjust the workforce scenario and inspect workload and momentum as new intervals arrive.
- capacity index
- workload
- streaming
- scenario modelling
HR workflow simulator
Follow recruitment, onboarding, payroll and reporting tasks as prerequisites finish, team members become available and delays affect the timeline.
- recruitment
- onboarding
- payroll
- workflow timing
Workforce demand scenario lab
Compare illustrative demand, retention and recruitment cycles using the existing mathematical simulations. These scenarios demonstrate interactions, not validated forecasts.
- demand cycles
- retention scenarios
- recruitment timing
Overtime pressure explorer
Explore a simulated staffing pressure index across demand and availability assumptions, with a linked profile and distribution.
- staffing pressure
- capacity assumptions
- workload distribution
Workforce pattern monitor
Use the existing synthetic signal models to explore recurring workload patterns, smoothing and short-term variation. Values are illustrative signal indices.
- recurring patterns
- signal strength
- smoothing
Learning & career pathways
Explore sample development pathways, prerequisite courses and follow-on learning, with linked participation trends and course rankings.
- career pathways
- learning prerequisites
- participation
Recruitment creative lab
Preview cropping and image adjustments for recruitment materials using the existing sample image and image-processing controls.
- image crop
- creative preview
- contrast & clarity
Workforce retention scenarios
Compare illustrative workforce entry and retention rules, then track active positions, new starters and departures in the existing simulation grid.
- active positions
- new starters
- departures
- scenario comparison
Explore the local demo
Filters, selections and simulations update the linked charts during your local session. No employee database connection is required.
Run locally
Unzip and start the gallery.
Open Docker Desktop, then run this command in the extracted folder. See START_HERE_DOCKER.md for setup, or START_HERE_WINDOWS.md for the Python launch option.
docker compose up --build
Open http://localhost:8000.