HR Analytics - Day 1 Notes

📊 HR Analytics - Day 1

Ghaziabad, Mohan Nagar

💱 Currency Conversion Reference

$1 Million = ₹8,000 Cr

$5 Million = ₹40,000 Cr

$50 Million = ₹40 Lakh Crore

📚 Key Terminology

BPO

Business Process Outsourcing

GPU

Graphics Processing Unit

KRA

Key Responsibility Area

KPI

Key Performance Indicator - Quality of work, helps check direction

Important KPIs:

  • Attrition Rate: Percentage of employees leaving the company
  • Absenteeism: Employee absence tracking
  • Headcount: Total number of employees in the organization

⚖️ Traditional HR vs HR Analytics

Traditional HR

  • Hire & Fire
  • Payroll Management
  • Leave Approval
  • Check Absenteeism
  • Joining Kit
  • Increment Processing
  • Works on gut feelings
  • Total headcount tracking

HR Analytics

  • Why employees leave
  • Proof & Data-driven
  • HR Domain + Data Analytics
  • Predict future trends
  • Describe + Prescribe solutions
  • Evidence-based decisions

🤖 Technology Evolution

AI → ML (Machine Learning) → DL (Deep Learning) → GEN AI (Generative AI) → Agentic AI → AI Agents
DS (Data Scientist) → DA (Data Analytics)

Analogy:

  • Data Scientist (DS): Works on descriptive analysis (like a pathologist - describes)
  • Data Analyst: Prescribes solutions (like a doctor - prescribes)

🛠️ Analytics Tools & Techniques

1. Descriptive Analytics Tools:

  • Excel
  • Power BI
  • Tableau
  • SQL
  • Google Sheets

2. Prescriptive Analytics Tools:

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence

👤 What is an HR Analyst?

An HR Analyst is a professional who combines expertise in the HR domain with data analytics skills to transform workforce data into actionable insights, driving strategic decision-making and organizational success.

Drafted by: HR Prateek Sharma

Day 1 - HR Analytics Training

© Ghaziabad, Mohan Nagar

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