Workforce Analytics Migration
5-min intervals
24/7 operations
Hundreds of people
Overview
From manual spreadsheets to real-time workforce optimization on Databricks
Workforce allocation in a 24/7 operation had been managed through disconnected spreadsheets and legacy tools, a high-stakes, error-prone approach. We transitioned the client to a modern Databricks data platform that enables planning and optimization at 5-minute intervals, coordinating hundreds of people across shifts, skills, and locations. The new platform equipped operational teams with the real-time insights they need to make faster, better-informed decisions while satisfying strict security requirements.
Technologies
Challenge
What we faced
- 01Shifting from manual processes to high-frequency 5-minute interval modeling
- 02Ensuring always-on availability for mission-critical operational users during the transition
- 03Strict security and access control requirements across sensitive workforce data
- 04Serving many departments and stakeholders with different needs and perspectives
Approach
How we solved it
- 01Databricks providing the scalable compute layer for complex allocation models
- 02DevOps pipelines (CI/CD) ensuring reliable, auditable deployments
- 03Bicep templates for infrastructure-as-code and repeatable environment setup
- 04Power BI delivering fast, interactive insights to operational decision-makers
Deliverables
What we built
- 01Complete move from legacy planning tools to an operational Databricks data foundation
- 02Granular 5-minute interval models for capacity, demand, and staff allocation
- 03Decision-ready dashboards designed for 24/7 operational environments
- 04Governed, consistent metrics ensuring all teams speak the same language
Results
The impact we delivered
Allocation decisions now backed by consistent, trusted data instead of spreadsheets
Shared operational view unifying teams and stakeholders around common metrics
Scalable foundation positioned for future optimization and automation capabilities
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