Workforce Analytics Workshop

Making workforce decisions in the dark?

Join us for Mercer’s Workshop in London

Mercer’s 1-day workshop will help you focus your metrics and analytics efforts to get real impact and drive tangible results.

Most organisations struggle with the application of workforce analytics to deliver real insights and ignite action that leads to change. Is that the case in your organisation?

Often the focus is on monthly reports and data quality. Although this may be valuable, it is often not enough to drive effective interventions and actions.

Mercer Talent Trends research highlights that companies are not moving the needle. Senior executives are not getting the workforce analytics they need. For example, executives say that understanding the key drivers of engagement would be most value-adding, but only 32% of HR leaders in the UK are able to provide this information.

Mercer research has identified the following roadblocks: lack of integration among data systems, lack of analytics skills within HR and lack of management experience in effectively using analytics data. Is that the case in your organisation?

Many organisations fall into the trap of starting with the data available and then trying to find insights within this data. The biggest ah-ha moment of Mercer’s London workshop continues to be that step 1 is actually about Determining the Impact of the analysis. In other words, what are the critical questions we need answered with data, and what decisions will be made based on these answers? It is only once this is precisely articulated, that we then select and collect the data needed to analyse the impact. Here’s how our London Workshop will help you:


Learning Outcomes for Participants:

  • Use analytics to gain insight and make smart decisions about the workforce
  • Understand the range of techniques that can be used to carry out in-depth analytics
  • Understand key concepts such as correlations and predictive analytics, and what their application is to workforce analysis
  • Use applications to specific workforce issues such as engagement, turnover, diversity and business outcomes
  • Interpret and understand data in order to tell an effective story with it to engage your audience

London Workshop Outline

  • Mercer's best practice approach to workforce analytics

    Many organisations start with the data available to them in their standard HR systems, and try to build dashboards and conduct analysis from here. This approach is akin to looking for the proverbial needle in a haystack. In this session we introduce Mercer's approach to analysis, which forms the structure for the remainder of the workshop. We discuss the Workforce Measurement Continuum, and the role of descriptive versus predictive analytics. We also provide real life examples of the outputs of different types of analytics.

  • 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 case study exercise.

  • Selecting the analysis and metrics that matter

    The next phase is to select the analytical techniques and metrics needed to answer the questions identified in step 1. In this session we discuss the range of analytical techniques needed. We will also conduct an approach to identify measures needed through hypothesis generation activity, including base measures, calculated measures and attributes.

  • Collecting and modelling 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.

  • Understanding and analysing findings

    The next phase is to analyse and understand what the data is telling us. In this session we will share a checklist for reviewing the findings, to both understand what the data is and what the data is not telling us. Learning is applied through a case study exercise.

  • 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.