Custom Analytics & Data Platform Integrations
Your workforce data, in your warehouse, answering real questions.
Workforce data is some of the most valuable operational data a company has — and in most UKG shops it stays locked inside the application, visible only through canned reports. I build the pipelines that move UKG Pro WFM data into your data platform reliably, model it so analysts can actually use it, and deliver the labor analytics your operators keep asking for: earned hours, schedule effectiveness, overtime drivers, labor cost versus demand. And when the real question is where labor cost is actually recoverable, I derive that answer in code against your own punch, schedule, and volume data — earned-hours standards rebuilt from what your process actually does, with modeled estimates kept visibly separate from what the actuals prove.
Sound familiar?
- Leadership wants labor KPIs that standard UKG reporting can’t produce.
- There’s a labor-savings target and no number that survives an executive’s first hard question.
- Your data team needs UKG data in the warehouse, but the extract options they’ve tried are brittle or incomplete.
- Store or site managers make staffing decisions on gut feel because the data arrives too late to matter.
- Merging workforce data with sales, production, or ERP data requires hand-built spreadsheets every week.
- The demand forecast has lost the floor’s trust, and nobody can say whether the problem is the engine or the volume data feeding it.
What you get
- Reliable UKG-to-warehouse pipelines (incremental, monitored, documented)
- Dimensional models for timekeeping, scheduling, and labor cost data
- Custom KPI engines — earned hours, schedule effectiveness, labor standards adherence
- Earned-hours labor standards derived from your own process timestamps, not inherited documentation
- Quantified labor-savings analysis, site by site, with validated findings never summed into modeled ones
- Forecast analysis as a standalone engagement — auditing the volume actuals feeding the engine, and forecast accuracy against them, before anyone re-tunes anything
- Dashboards and data products your operations teams will actually use
Built in the field
Every engagement is custom — these show what this capability looks like in production.
- From $1.4M in validated labor savings to the platform that captures it · National biopharma services network · several hundred US sites
A labor diagnostic built in Databricks quantified $1.4M in actuals-validated annual savings — then the same analysis became the requirements for the UKG Pro WFM data platform built to capture it.
- Demand signals feeding UKG Pro WFM Forecasting · Multi-site childcare operator
Raw check-in events became intraday occupancy curves, loaded as volume drivers through the Forecasting APIs on a repeatable warehouse pattern.
- Schedule-effectiveness analytics on UKG Data Hub · Global apparel retailer
Measuring how much managers rework AI-generated schedules — by store and by daypart — built directly on Data Hub’s BigQuery layer.
Frequently asked
- Which data platforms do you work with?
- BigQuery and Databricks most often — including UKG Data Hub’s BigQuery layer, and zero-copy query federation from it into a Databricks lakehouse so the data stays where it lands and there is no ETL to maintain. Postgres and the other mainstream warehouses are fine too. Getting extraction, modeling, and refresh right against the UKG structures matters more than the platform, and I meet your data team where they already are.
- Can you tell us where our labor cost is actually recoverable?
- Yes, and that is often the right place to start — especially ahead of a Pro WFM implementation, where the findings become configuration requirements instead of a report that gets filed. I rebuild earned-hours standards from your own timestamps, quantify the gap against actual hours site by site, and keep what the data proves separate from what is modeled. On a recent multi-site network that produced $1.4M in actuals-validated annual savings inside a larger opportunity portfolio.
- Can you combine UKG data with our sales or operational data?
- Yes — that combination is usually where the real value is. Labor versus demand, earned versus actual hours, schedule quality versus outcomes. Cross-system labor analytics is a core part of this offering.
- Can you analyze our forecast without a build project?
- Yes — forecast analysis is an engagement I take on by itself. I audit the volume actuals feeding the engine — business-day bucketing, business-structure mapping, gaps loaded as zeros, restatements that never got re-sent — and measure forecast accuracy against corrected history. Most “bad forecast” complaints trace to the feed, not the engine, and the deliverable is a concrete findings-and-fixes report. Whether any of it becomes a build afterward is entirely your call.
Talk through your scenario
A 30-minute working session is the fastest way to find out whether this is buildable — and what it would take.
Contact Jeff