Databyte Academy

HR Analytics Program

HR Analytics for Business Decisions

HR analytics refers to applying analytic processes to the human resource department of an organization in the hope to improving employee performance and therefore getting much greater insights into the people based aspect of organizations. Analytics can certainly enhance the credibility of the function and the profession by improving the effectiveness of HR policies and practices and contributing to the competitive advantage of organizations that develop it as a core competency. HR analytics does not just gathering data on employee efficiency. Instead, it aims on how to drive organizational changes around human capital activities by linking evidence-based data to business strategy and performance as well as making better decisions on the people side of the business.

The key aspect of HR analytics is to conclusively show the impact the HR department has on the organization as a whole. Establishing a cause-and-effect relationship between what HR does and business outcomes, this allows you to create strategies based on the information gathered. HR analytics shows the correlation business data and people data that can help to establish important connections in future.

Objective of the program

  1. Uncover data-driven insights using analytics skills that aid in strategic decision making & reporting
  2. To raise the level of competency of HR professionals in the use of analytics.
  3. Measuring key parameters throughout the HR function across all metrics
  4. How to drive organizational changes by linking evidence-based data to business strategy and performance.
  5. How to apply HR analytics to a broad spectrum of human capital activities and linking them to workforce analytics
  6. Make HR analytics part of your HR strategy to predict or anticipate the changes.
  7. End to end value proposition of HR Analytics and key stages of HR Analytics project
  8. How to build interactive dashboard for better illustration and engagement with key business metrics
  9. How to use statistical concepts for problem solving and decision making. Also solve various HR and Business challenges using analytics techniques

Who Should attend this course?

HR Directors, HR Managers, CHROs, Senior Management Staff, HR Business Partners and all those HR professionals who want to solve various HR problems by leveraging HR analytics for data driven decision making.

Course Outcome

  1. Distinct source of competitive advantage
  2. Optimize organizational performance & delivery
  3. Faster turnaround time & improved decision making
  4. Empowering managers & functional needs
  5. In-depth insights through metrics that matter using interactive dashboards


  • No prior analytics or statistics knowledge is required
  • Basic proficiency in Microsoft Excel would be an advantage

About Course Trainer

Chandra Mouli – Chief Data Scientist

  1. Expert in connecting HR processes to business results through qualitative and quantitative methods.
  2. Highly qualified and experienced industry practitioner with years of global analytical experience having trained 3000+ professionals in leading companies across the globe.
  3. Having strong academic background with a Masters in Statistics with more than 10 years of experience in the field of Big Data Analytics like Marketing Analytics(CSI, CLM & Pricing), Risk Analytics(Credit Risk), Operation Analytics and Digital Analytics with focus on Retail/E-Commerce, Banking, Insurance, Telecom , Travel and Media clients in Asia, Australia, Europe, and United States.
  4. Hands on experience in development of Marketing & CRM Models (Acquisition, LTV Models, Cross Sell & Upsell, Attrition and MROI Models), Pricing Models (price & promo), Credit Risk Models (PD Models for Credit Cards, Consumer Loans and Insurance Portfolios) and statistical models for optimizing operations.
  5. Hands on expertise in Big data and Multivariate analytical techniques including classical & machine learning algorithms like regression (Linear/Logistic), Time Series, Text Mining, instance based, regularization, Decision tree, Bayesian, clustering (K-means/Hierarchical), Association rules (apriori/Eclat), SVM, ANN, Deep learning and ensemble algorithms.
  6. Have used different statistical flat forms like SAS/SAS EM, R/R-Studio, Python, SPSS/SPSS Modeler, Hadoop, Spark, Tableau, Salesforce, Alteryx, Sql/plsql, Excel/VBA.
  7. Areas of expertise include Big Data Analytics, HR Analytics, Business Analytics, Machine Learning, Marketing Analytics, Risk Analytics, Operation Analytics, Digital Analytics, Business Intelligence etc.

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Databyte Academy Instructors

Learn from practitioners, not from trainers.


CEO & Co-Founder of Analytixlabs

Sumeet is a former Business Consultant and has worked with prestigious companies like McKinsey & Company, ZS Associates and AbsolutData in the past 8 years. He has worked in more than 10 countries across the globe and is an expert in Business and Big Data Analytics.


Chief Data Scientist

Chandra Mouli is a former Business Consultant/Data Scientist and has worked with prestigious companies like McKinsey, and Genpact in the past 10 years. He has worked for clients across the globe and is an expert in Business and Big Data Analytics.

Ankita Gupta

Principal Consultant

Ankita is a former Analytics Consultant and has worked with prestigious companies like McKinsey & Company and Fidelity Investments in the past 10 years. She has worked in more than 10 countries across the globe and is an expert in Business and Marketing Analytics.

Sunit Prasad

Data Scientist

Sunit Prasad is a Senior Consultant and has worked on various projects in Analytics from Banking and Insurance domains, Risk Analytics, Social Media Analytics and Software Development in the past 5 years.

Ankur Agarwal

Analytics Consultant

A Consultant, worked with multinational companies like NIIT Tech (India, USA), EXL Inductis & IMS Health in the past 6 years for Fortune 50 clients across different geographies like USA, Italy as an expert in Statistical Business analysis and Data Analytics.

Sunit Prasad

Data Analytics

Manuj is an Analytics Consultant and he has worked with prestigious companies like American Express, Eclerx Services and Infosys. In past 8 years he has worked for clients across the globe and is an expertise in Business and Data Analytics.

Arun Pawar

Data Analytics

Arun Pawar is an Analytics Consultant and he has more than 11 years of corporate experience and worked with prestigious companies like Tech Mahindra, Accenture, British Telecom, Evalueserve and Mercer. He has worked for clients across the globe and is an expertise in Business and Data Analytics.

Training Dates

To be commenced soon

Duration – 3 Days


Upon successful completion of the program, participants will be conferred with Certificate of Completion.

Delivery Methodology:

Lectures, case studies, sharing of experiences, group discussions, role play, Hands on practices, video clips and interactive exercises

Course Outline

Earn your Certificate
Our HR Analytics program is exhaustive and this certificate is proof that you have taken a big leap in mastering the HR domain.

Differentiate yourself with other HR Professionals
The knowledge and skills you’ve gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it – tell your friends and colleagues about it.

Introduction to HR Analytics & Data Sources

  1. What is HR Analytics?
  2. Origin and evolution of HR Analytics
  3. Value proposition of HR analytics & key stages of HR analytics project
  4. Relevance and Benefits in industry
  5. HRMS/HRIS & Data Sources
  6. Tools & Techniques for HR analytics

Identification of Key Metrics in HR function

  1. Linking HR to Business drivers
  2. Key Strategic Themes using Analytics
  3. Talent acquisition, retention and forecasting
  4. Headcount Management
  5. Measuring Hiring Effectiveness
  6. Compensation and Benefits
  7. Employee Satisfaction, Survey Analysis and Feedback Analysis
  8. HR Efficiency and Utilization
  9. Introduction to the Balanced Scorecard- The HR aspect
  10. How to use HR analytics frameworks to understand how different functions are inter connected?

Quantification of HR metrics

  1. Cost Determinants
  2. Lead and lag Indicators
  3. Compensation – Recruitment – Performance management- Learning and Development

Statistics & Its Applications in HR Analytics

  1. Basic statistics including univariate, bivariate statistics
  2. Regression modelling
  3. Forecasting

Analysis & Reporting (Visualization in HR Analytics)

  1. Dashboards & Descriptive analysis
  2. Derived Metrics & Ratios
  3. How to use these analysis for making business decisions
  4. Trend analysis to predict attrition
  5. Top performer segmentation
  6. Compensation analysis & Fair compensation tool
  7. Voice of employee analysis & drivers of employee satisfaction

Case studies will provide hands-on experience in using analytics to perform the following HR functions:

  1. How to perform diagnostics and identify key problems in HR using analytics
  2. Build Dashboard and visualize HR metrics
  3. Create & Measure HR metrics for different functions
  4. Predict Employee attrition and identify Root causes
  5. Analyze employee engagement survey data – Employee satisfaction and identify key driving factors



Learn from Practitioners, not trainers – Learn analytics skills that will forever transform the way you work

Data & Analytics, A Business Priority

Learn how analytics can have a significant impact on your business decisions by uncovering the powerful insights from your organization’s hidden data.

Customized Training

We work with you in developing a program that attains your training objectives. Training can also be built to include case studies with your data for practical learning.

Talent Development

Up-skill & reskill your current workforce with our high value added, result oriented training programs.


“The institute has best infrastructure in terms of study material, faculties, classrooms etc. Student will get chance to work on live projects. You will get excellent training in analytic field. The whole training period is just wonderful.”
Data Scientist, IBM

A great introduction course to attend for anyone who plans to expose himself in Big Data. The course covers how problem solving should be conducted from a consultant perspective (analytical approach). The approach used can help an analyst to tackle the main problem and provide a meaningful analysis and solution to the business / organization. Course was conducted by two well-experienced consultants. Information / knowledge / experience shared and extended to participants are highly valuable. – Human Resource, Learning & Development – LAZADA

“I had a wonderful 5-day journey of analytics problem-solving with the team and it has built a solid foundation for me to continue this journey as I progress in my career.” – Manager, OMRON Electronics Sdn Bhd

“The course is very well structured to start off things from scratch and mentors are very helpful at every phase of learning. The Assignments and Case studies are perfect for understanding real time problems. By the time i completed my course i landed a really nice job. Highly recommended if anybody wants to enter into analytics Industry. Special thanks to the trainers –
Business Analyst, E&Y

“I had enrolled myself for the Business Analytics and SAS course. The learning experience was great as the overall curriculum was well structured, industry knowledge and examples provided by the faculty helped in better understanding the topics, response to queries was always prompt. Even after completion of the course, while working on the eCommerce projects, I at times reach out to them with analytical queries and they are helpful in terms of providing a general direction. Overall, a great place to learn and would certainly recommend their courses.”
Manager, Hewlett-Packard Analytics

“I really appreciate the way of their teaching. They have excellent industry knowledge and work background. And at last I would like to thank all staff for supporting me in my career growth.”

Team Leader, Bank of America

We have trained some of the leading companies across industries…

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