Workforce Analytics Workshop

Making workforce decisions in the dark?
Kick Start your Workforce Analytics Journey

Join your peers in London for Mercer’s workshop…

Most organisations struggle with the application of workforce analytics to deliver real insights and ignite action that leads to change. Often the focus is only on descriptive metrics showing historical trends. Although this is valuable, it is often not enough to drive effective interventions and actions. In a recent Mercer survey, 77% of participating organisations plan to increase their workforce analytics capability over the next two years while only 31% consider that their current use of analytics is somewhat successful. Big roadblocks are the lack of integration among data systems, lack of analytics skills within HR and lack of management experience in effectively using analytics data.

How Mercer can help?

Mercer's in-house workshop will equip your people working with workforce analytics, the more advanced techniques needed to support long-term workforce planning, make data-driven decisions on human capital investments and leverage factors that increase productivity and business success.

Learning Objectives

  • Learn how to focus your workforce analytics efforts to get real impact
  • Understand the range of techniques that can be used to carry out in-depth analytics
  • Explore applications to specific workforce issues such as recruitment, turnover, diversity and business outcomes
  • Tell an effective story with data that will engage your audience Mercer's workshop is the ideal learning solution to kick start your workforce analytics journey and want to understand how to quickly ramp up your practice with actionable analyses.

Further Details

Full details, agenda and pricing:
Gareth Martin
+44 207 178 3352

  • What is covered?


    In this session we discuss the Workforce Measurement Continuum, and the role of descriptive versus predictive analytics. We introduce Mercer's approach to analysis, which forms the structure for the remainder of the workshop.

    Determining the impact of the analysis:

    To create meaningful metrics and analytics, it is important to start with the impact you want the analysis to have. In this session we will look at a number of techniques, both qualitative and quantitative, to determine the impact of the analysis. Learning is applied through a group discussion.

    CASE STUDY Part 1:

    Through a practical case study and series of activities, this session shows how descriptive analytics, projections and qualitative research can be combined to understand diversity, inclusion and recruitment targets.

    Selecting the metrics that matter:

    The next phase is to select the metrics needed to answer the questions identified in step 1. In this session we discuss base measures, calculated measures and attributes.

    Collecting data:

    Once the ideal metrics have been identified, then a gap analysis between desired and actual data needs to take place. In this session we will review how to conduct a data audit of the data, and construct a data plan.

    Spotlight on data request:

    This session provides insights on how to respond to requests from HR and business managers for data. Learning is applied through a group discussion.

    Analysing findings:

    In this session we review some of the key techniques that can be used in workforce analytics including segmentation, correlations and regressions analysis. Learning is applied through a case study exercise.

    CASE STUDY Part 2:

    Through a practical case study and series of activities, this session shows how to use explanatory/predictive analysis to understand turnover and retention.

    Spotlight on say/do analysis:

    During this session we illustrate the importance of complementing quantitative analysis with qualitative analysis.

    CASE STUDY Part 3:

    Through a practical case study and series of activities this session shows how correlations, profiling and business impact modelling can be used to understand the impact of the workforce on business outcomes.

    Reporting and communicating the findings through telling a story:

    The final critical phase, which is often overlooked or rushed, is the reporting and communication of the findings. In this session we will consider how to understand the data audience, and how to construct a meaningful presentation that will lead to action. Learning is applied through a case study exercise.


    The day ends with a quick summary of the day and a discussion on key learnings.