🧪 Case Study: People Analytics Transformation – PolyMetrix USA Inc. (Vision 2035)
Theme: Human Intelligence for a Safer, Smarter Materials Enterprise
🏢 Company Overview
Aspect | Details |
Company Name | PolyMetrix USA Inc. |
Headquarters | Houston, United States |
Operations Hub (Emerging Market) | Gurugram, Haryana, India |
Sector | Materials – Advanced Polymers, Composites, and Specialty Chemicals |
Founded | 2008 |
Vision 2035 | “Engineering Materials and Meaningful Work through Intelligent People Systems.” |
Transformation Program | Project HUMATEX 2035 (Human-Materials Intelligence Experience) |
Core Platform | SAP SuccessFactors + SAP Analytics Cloud + SAP BTP AI Services |
🌱 Background
PolyMetrix USA Inc., a specialty materials innovator serving automotive, aerospace, electronics, and life sciences, operates across North America, Europe, and India.
To realize Vision 2035, PolyMetrix aims to become a “Human-Centric Digital Plant Network,” where workforce safety, skill agility, and regulatory compliance are measured, predicted, and continuously improved.
While manufacturing analytics were mature, People Analytics lagged and was fragmented across ERPs, L&D tools, and spreadsheets. The HR Transformation Office launched a Global People Analytics Hub connecting the US HQ’s safety-first culture with Haryana’s digital and operational excellence.
🔭 People Analytics Vision 2035
“Quality and safety start with people. Analytics helps us see patterns early — and act fairly.”
- Jordan Lee, Chief People Officer, PolyMetrix USA Inc.
By 2035, PolyMetrix aims to:
- Build an AI-powered HR Intelligence Platform tuned for manufacturing and R&D talent
- Integrate EHS (Environment, Health, Safety) with HR and operational data
- Orchestrate skills-based staffing across plants and labs
- Elevate data literacy for HR, plant leadership, and line managers
🧩 Strategic Objectives
Focus Area | Description | Target Outcome by 2035 |
Unified Data Foundation | Integrate HR, Payroll, Learning, EHS, Compliance | 100% people visibility across plants and labs |
Predictive Safety & Attrition | Model incident risk and voluntary churn | ≥85% precision for high‑risk cohorts |
Skills-Based Workforce Planning | Match skills to batch campaigns and R&D sprints | >90% skill coverage for critical runs |
Regulatory & Quality Analytics | Link training, certification, and audit outcomes | Zero critical audit findings |
Data Culture & Literacy | Upskill HR, supervisors, and plant managers | 80% users certified on data basics |
⚙️ Agile Implementation (People Analytics Hub)
(Each sprint = 2 weeks; 6 sprints for pilot → global rollout)
Epic / Theme | User Story | As a (Role) | I want to... | So that I can... (Business Value) | Acceptance Criteria | Sprint |
Data Integration | HR + EHS Data Model Setup | HRIS Analyst | integrate EC + Payroll + Learning + EHS | create a unified workforce and safety foundation | Model validated; APIs connected to SAP BTP | Sprint 1 |
Data Governance | Define HR/EHS KPIs & Quality Rules | HR Data Steward | standardize data definitions and owners | ensure integrity across US and India | Data dictionary published; audit trace ready | Sprint 1 |
Descriptive Analytics | Headcount, Diversity, Safety Overview | HRBP / EHS Lead | visualize workforce mix and incident trends | support safety and DEI strategy | SAC dashboard live; daily refresh | Sprint 2 |
Predictive Analytics | Attrition & Incident Risk Models | Data Scientist | train ML models using BTP AI Core | predict churn and leading indicators of incidents | Accuracy ≥85%; explainability artifacts | Sprint 3 |
Skills & Certification Analytics | Skill Heatmap + License Tracker | L&D Head | identify readiness for campaigns and audits | align training to production plans | Heatmap by plant, shift, role | Sprint 3 |
Workforce Planning Simulator | “What‑if” for Campaigns | HR Analytics Lead | forecast manpower and shift coverage | plan critical runs with minimal overtime | 3 scenarios executed successfully | Sprint 4 |
Executive Dashboards | People + Safety KPI Suite | CHRO / COO | view talent, safety, compliance KPIs | make board‑level decisions | Mobile‑ready SAC dashboards | Sprint 5 |
Self‑Service Analytics | Supervisor Portal | Plant Supervisor | access team analytics on demand | make faster, safer staffing decisions | RBAC live; >80% weekly active | Sprint 5 |
Ethical AI & Transparency | Explainable AI Layer | Compliance Officer | audit model decisions | ensure fairness and non‑discrimination | Explainability report in SAC | Sprint 6 |
Capability Building | Data Literacy Training | L&D Team | train HR, EHS, and line leaders | scale adoption and critical thinking | 100 participants; NPS ≥4.5/5 | Sprint 6 |
🧭 Architecture Overview (Simplified)
Layers:
- Data Source: SAP SuccessFactors (EC, Learning, Compensation), Payroll, EHS systems, Compliance LMS
- Data Integration: SAP Integration Suite + SAP BTP Data Services
- Analytics & AI Layer: SAP Analytics Cloud + BTP AI Core + Predictive Planning
- Experience Layer: CHRO/COO Dashboard, Supervisor Portal, Mobile App
- Governance Layer: Data Catalog, OSHA/EPA and global privacy standards
📊 Key Metrics & Dashboards
Dashboard Name | Purpose | Key Metrics |
Global Workforce & Safety | Operational visibility | Headcount, turnover, tenure, TRIR, LTIFR |
Predictive Attrition & Incident Risk | Retention and safety insights | Risk score, top drivers, near‑miss indicators |
Skills, Certification & Audit Readiness | Compliance and readiness | Skill readiness %, cert expiry, audit pass rate |
Quality & OEE People Link | Link people factors to yield/OEE | First‑pass yield variance, skill‑OEE correlation |
Leadership Pipeline | Future readiness | Bench strength %, internal mobility |
🌏 Collaboration Model
Region | Role | Focus Area |
US HQ (Houston) | HR Strategy, EHS Governance, Compliance | Define KPIs, safety culture, regulatory guardrails |
India (Haryana Operations – Gurugram) | HRIS Ops, Data Science, Plant Analytics | Build and run models and dashboards |
EU R&D Center | Advanced Analytics for Materials R&D | Forecasting and optimization for R&D sprints |
Global HR COE | Adoption & Data Literacy | Training, change management, continuous improvement |
💡 Outcomes (by 2030)
- 30% reduction in recordable incidents (TRIR)
- 20% attrition reduction in production technologists and process engineers
- 25% faster staffing for critical batch campaigns
- Predictive models ≥85% accuracy for high‑risk scenarios
- Zero critical findings in external audits
🧱 Business Impact Summary
Dimension | Impact |
Efficiency | Unified HR/EHS data; retired 18 legacy reports |
Predictive Power | Early churn and incident alerts |
Culture | From reactive to safety‑ and insight‑driven HR |
Governance | OSHA‑aligned, ethical AI with audit trail |
Quality | Improved first‑pass yield via skill alignment |
🎓 For MBA Presentations
Case Title:
“PolyMetrix USA Inc.: Architecting People Analytics for a Human‑Centric Materials Enterprise.”
Suggested Student Deliverables:
- 10‑minute presentation + 2‑minute Q&A
- Cover: problem framing, analytics roadmap, safety and ethics, and business value
- Tools reference: SAP SuccessFactors, SAP Analytics Cloud, SAP BTP
🎓 Top 5 Deep Thinking Questions (Materials & People Analytics)
# | Question | Core Thinking Dimension | Expected Presentation Focus |
1 | 🧪 How should HR measure and influence safety culture without creating fear? | Safety Psychology, Ethics | Leading vs. lagging indicators, just culture frameworks |
2 | 🔁 Can skills‑based staffing reduce quality defects and rework? | Operations Linkage, Skills Economics | Skill‑OEE correlation, staffing algorithms, guardrails |
3 | 🧠 Where is the line between valid risk prediction and discriminatory profiling? | Data Governance, Organizational Justice | Model explainability, fairness constraints, review boards |
4 | 🌍 What’s the right balance of global standards vs. local plant autonomy? | Change Leadership, Operating Model | Global data dictionary, local overrides with audit |
5 | 📚 How can continuous certification be engaging instead of burdensome? | Learning Design, Motivation | Micro‑learning, spaced repetition, AR/VR for safety |
🎯 Suggested Titles for Student Teams
- “Safety by Design: The People Factor”
- “Skills to Yields: The Quality Link”
- “The Fairness Boundary in Risk Models”
- “From Batches to Brains: Humanizing Materials”
- “Compliance Without Friction”
✨ Tagline
“From Data to Safe, High‑Quality Materials — PolyMetrix puts people at the core of performance.”
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