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    HR Analytics for Effective Management of Human Resources
    Indian Institute of Management Calcutta

    HR Analytics for Effective Management of Human Resources

    Indian Institute of Management Calcutta, Maheshtala
    HomeData & AIIndian Institute of Management CalcuttaHR Analytics for Effective Management of Human Resources
    5 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Sep 21 - Sep 25, 2026
    5 days Β· in-person Β· Instructor-Led Β· Kolkata Campus
    Open
    $1,557

    All-inclusive program fee

    About This Program

    There is an increasing trend among organizations towards data-driven decision-making, with the assistance of novel analytical techniques. Human Resources Management is no exception to this, and 'HR analytics' encompasses all those data-driven decision-making about people issues in an organization. The increasing use of information technology in organizations generates a massive amount of data about people, processes, business, and context. This should, ideally, enable a detailed analysis of HR policies, practices, and procedures of the organization and help ascertain whether they align with the organizational strategy and purpose. The areas covered under HR analytics include but are not restricted to, descriptive analysis (for example, analyzing the attrition data to derive insights about retention strategies), predictive analysis (for example, analyzing performance data to predict the future performance of a newcomer), and prescriptive analysis. This programme intends to provide a glimpse of the scope and implications of HR analytics towards assessing, designing, and transforming HR systems and processes based on substantial evidence and data, thus enhancing the alignment between HR operations and strategy.

    Why Indian Institute of Management Calcutta?

    IIM Calcutta carries a particular authority in Indian management education that comes simply from being first β€” the oldest IIM in the country, founded in collaboration with MIT Sloan and the Government of India, in a city that has historically produced some of India's most rigorous intellectual traditions. For senior professionals who want academic depth alongside a genuinely global research pedigree, few institutions on the subcontinent can match its credentials.

    Your Profile

    • The programme will be helpful for both HR managers and non-HR managers who aim to understand the application of analytics to HRM problems.
    • While experience is not a constraint to attending the programme, the participants who have spent a minimum of 4-5 years in the industry, not necessarily in HRM roles, will benefit more from the programme.

    Benefits

    • Apply descriptive, predictive, and prescriptive analytics to HR problems such as attrition, recruitment, and performance appraisals.
    • Use psychometric methods, machine learning, and text analytics to analyze people data across HR functions.
    • Build data-driven retention strategies by working through workforce data to produce HR interventions.
    • Diagnose compensation decisions, succession planning gaps, and diversity management issues through hands-on analytical exercises.

    What You'll Learn

    • HRM system, HR policy making, and fit analysis.
    • HR Analytics - Approach: descriptive, predictive, and prescriptive analysis frameworks.
    • HR diagnostics: predictive attrition analytics, feedback mechanisms including survey analytics, analyzing gaps between policy and implementation.
    • People planning analytics: Demand and Supply functions, succession planning, HR stock and flow problem.
    • Recruitment and selection data analytics: predictive analytics and cost optimization of selection methods.
    • Training analytics: assessing training effectiveness; reliability and validity concerns in HR analytics.
    • Employee performance data analytics: predicting hi-pots, normalization (bell curve) concerns, diagnosing causes of success or failures.
    • Analytics to understand compensation decisions in organizations.
    • Diversity Management Analytics.
    • Employee voice analytics - text analytics.
    • Ethical issues in HR analytics.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

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    3. 3

      Contact the school

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    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

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      Submit your application

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