HR ANALYTICS
Kevin D Carlson & Michael J Kavanagh
                                       EP JOHN
                                       11397044
   Introduction  OVERVIEW
   A brief history
   Contemporary HR analytics
   Main objective
   Using HR analytics
    Problem solving and decision making
   HR process efficiency
   Analytics basics
   Things to remember
INTRODUCTION

 Org decision making
 Integrated HRIS

 Y2K

 TQM, 6 Sigma, Lean

 Evidence-based management

 1984 – Dr Jac Fitz-enz,

Saratoga Institute
SHRM HR EFFECTIVENESS REPORT
CONTEMPORARY HR METRICS &
  WORKFORCE ANALYTICS
    Expense
    Cost & benefit
    Learn from the past
MAIN OBJECTIVE
   Tell, what you want???
   Existing reports???
   Acknowledge???
USE OF HR METRICS & WORKFORCE
           ANALYTICS
   Metrics – data that reflect some
    descriptive detail about given processes
    or outcomes.
   Analytics – strategies for combining data
    elements into metrics and for examining
    relationships or changes in metrics.
   Importance – depends on the problems
    and opportunities that currently face its
    managers.
HR ACTIVITIES
   Reporting
   Dash boards
   Bench marking
   Data mining
   Predictive analyses
   Operational experiments
   Workforce modeling
PROBLEM SOLVING & DECISION MAKING

    Decision making, is understanding of
      the outcomes that one is attempting to
       achieve
      the factors that influence those

       outcomes and their current states
      knowing available tactical options and

       their costs
PROBLEM SOLVING & DECISION MAKING
      Common & troublesome view
          Struggle to determine what & how to report
           Report large metrics, that may not be
           relevant.
      Opportunity domains of HR expertise
          Centers of excellence
          Business partners
          Process administration
COMPONENTS OF HR FUNCTIONALITY


               Business partner




        Process              Centre of
      administration        excellence
HR PROCESS EFFICIENCY
   Organizational effectiveness
       The outcomes are the business units’
        operational metrics i.e. Percentage of on-
        time deliveries, Operational
        downtime, Lost time accidents, Units sold
        or Cost per unit. (Operational
        effectiveness)
   Strategic realignment
       Long term planning
MEASUREMENT METRICS & ANALYTICS
           BASICS
   Getting started
       Increase organizational efficiency
   The role of Why???
       Intermediate variable effects
   Putting HR metrics and analytics data in context
       Trend information
   Reporting what we find
       Push systems
       Pull systems
PUSH & PULL SYSTEMS
   PUSH
       email
   PULL
     Posting HR metrics – company
      website
     Offer of access to information

     Access to information
THINGS TO REMEMBER
   Don’t DO METRICS
   Bigger is not always better
   Is a journey – not destination
   Be willing to learn
   Avoid the temptation to measure
    everything aggressively
HR METRICS & FUTURE

 Competitive advantage
 Effective organizational functioning

 Effective decision making

 Manage human Capital
RESEARCH PAPERS
Hr analytics
HOW CAN ORGANISATIONS USE
      WORKFORCE ANALYTICS?

 Forward-looking workforce planning
 Managing talent acquisition

 Diversity effectiveness

 Talent potential & progression

 Proactive retention
WHAT ARE THE KEY SUCCESS
           FACTORS?

   Start small and build momentum
   Focus on capabilities
   Use existing technology investments
   Consider cloud to jump-start the effort
   Use what you learn
Hr analytics
TYPICAL HR CHALLENGES
   No accurate view of workforce profile
   Lack of visibility in the effectiveness of HR
    programs
   Poor alignment of talent management strategy
    with corporate strategy
   No standard HR reporting infrastructure
   Time wasted gathering data to manage &
    report
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Hr analytics

  • 1. HR ANALYTICS Kevin D Carlson & Michael J Kavanagh EP JOHN 11397044
  • 2. Introduction OVERVIEW  A brief history  Contemporary HR analytics  Main objective  Using HR analytics  Problem solving and decision making  HR process efficiency  Analytics basics  Things to remember
  • 3. INTRODUCTION  Org decision making  Integrated HRIS  Y2K  TQM, 6 Sigma, Lean  Evidence-based management  1984 – Dr Jac Fitz-enz, Saratoga Institute
  • 5. CONTEMPORARY HR METRICS & WORKFORCE ANALYTICS  Expense  Cost & benefit  Learn from the past
  • 6. MAIN OBJECTIVE  Tell, what you want???  Existing reports???  Acknowledge???
  • 7. USE OF HR METRICS & WORKFORCE ANALYTICS  Metrics – data that reflect some descriptive detail about given processes or outcomes.  Analytics – strategies for combining data elements into metrics and for examining relationships or changes in metrics.  Importance – depends on the problems and opportunities that currently face its managers.
  • 8. HR ACTIVITIES  Reporting  Dash boards  Bench marking  Data mining  Predictive analyses  Operational experiments  Workforce modeling
  • 9. PROBLEM SOLVING & DECISION MAKING  Decision making, is understanding of  the outcomes that one is attempting to achieve  the factors that influence those outcomes and their current states  knowing available tactical options and their costs
  • 10. PROBLEM SOLVING & DECISION MAKING  Common & troublesome view  Struggle to determine what & how to report  Report large metrics, that may not be relevant.  Opportunity domains of HR expertise  Centers of excellence  Business partners  Process administration
  • 11. COMPONENTS OF HR FUNCTIONALITY Business partner Process Centre of administration excellence
  • 12. HR PROCESS EFFICIENCY  Organizational effectiveness  The outcomes are the business units’ operational metrics i.e. Percentage of on- time deliveries, Operational downtime, Lost time accidents, Units sold or Cost per unit. (Operational effectiveness)  Strategic realignment  Long term planning
  • 13. MEASUREMENT METRICS & ANALYTICS BASICS  Getting started  Increase organizational efficiency  The role of Why???  Intermediate variable effects  Putting HR metrics and analytics data in context  Trend information  Reporting what we find  Push systems  Pull systems
  • 14. PUSH & PULL SYSTEMS  PUSH  email  PULL  Posting HR metrics – company website  Offer of access to information  Access to information
  • 15. THINGS TO REMEMBER  Don’t DO METRICS  Bigger is not always better  Is a journey – not destination  Be willing to learn  Avoid the temptation to measure everything aggressively
  • 16. HR METRICS & FUTURE  Competitive advantage  Effective organizational functioning  Effective decision making  Manage human Capital
  • 19. HOW CAN ORGANISATIONS USE WORKFORCE ANALYTICS?  Forward-looking workforce planning  Managing talent acquisition  Diversity effectiveness  Talent potential & progression  Proactive retention
  • 20. WHAT ARE THE KEY SUCCESS FACTORS?  Start small and build momentum  Focus on capabilities  Use existing technology investments  Consider cloud to jump-start the effort  Use what you learn
  • 22. TYPICAL HR CHALLENGES  No accurate view of workforce profile  Lack of visibility in the effectiveness of HR programs  Poor alignment of talent management strategy with corporate strategy  No standard HR reporting infrastructure  Time wasted gathering data to manage & report