pathoori.ai / Research Concept
EJCSIT · Vol 13 · 2025 Peer-Reviewed 📄 View Paper ← Portfolio
📄 EJCSIT Journal — Peer-Reviewed · Open Access

The Evolution of Workforce Analytics: From Historical Reporting to Predictive Decision-Making

This paper presents the Run vs. Change Neural Kernel — a Brain.js-powered framework deployed at a Fortune 100 Financial Institution that classifies workforce labor costs into operational (Run) vs. strategic (Change) categories, enabling data-driven FTE conversion decisions and achieving $6M annual capital reclamation across 20+ business units.

Framework: Run vs. Change Neural Kernel
Institution: a Fortune 100 Financial Institution
DOI: 10.37745/ejcsit.2013
ORCID: 0009-0000-2999-8263
$6M
Annual Capital Reclaimed
40%
Staffing Accuracy Gain
30%
Contractor Cost Reduction
20+
Business Units Served
Research Framework Visualizations
Primary Analysis
Secondary Analysis
Distribution / Composition
Trend Analysis
Enterprise Adoption / Impact
Framework Architecture
01
Data Integration Layer
Unified feeds from Workday, Jira, and ServiceNow APIs — real-time headcount, project demand, and SLA data fused into a normalized workforce tensor for neural classification.
Workday · Jira · ServiceNow
02
Run vs. Change Neural Kernel
Brain.js feed-forward network trained on tenure, utilization, SLA scores, and contractor ratios. Classifies each role as operational overhead (Run) or strategic investment (Change) with 94%+ accuracy.
Brain.js · 4-Layer FFNN
03
Prescriptive Output Engine
Generates FTE conversion targets, savings projections, and quarterly action plans per department. Output consumed directly by HR and Finance leadership dashboards.
Dashboard · Report · Export
Cite This Research
Pathoori, M. R. (2025). The evolution of workforce analytics: From historical reporting to predictive decision-making. European Journal of Computer Science and Information Technology, 13(4), 66–83. https://doi.org/10.37745/ejcsit.2013/vol13n466883
DOI: https://doi.org/10.37745/ejcsit.2013/vol13n466883
ORCID: https://orcid.org/0009-0000-2999-8263
Test this framework live: pathoori.ai ↗