The New Shape of Work interview series addresses the challenges and uncertainty in the current business environment with a focus on how to transition to a more agile workforce for the future.
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In this episode, Gordon Frost, Mercer’s Global Rewards Solution Leader, emphasizes the importance of using data to improve pay fairness and transparency within organizations. He is joined by Deena Harvanek, Change and Communication Leader at Mercer, and Will Self, Workforce Strategy and Analytics Leader at Mercer. Together, they discuss the rising awareness of pay disparities, recent legislative changes requiring pay transparency, and the growing employee expectations for fairness and clarity in compensation. They also explore how proactively utilizing data for informed decision-making and effective communication can help create a positive workplace culture.

Interesting moments:

  • Employee expectations

    Today employees are really informed and vocal about their compensation expectations. Clearly understanding how pay is determined in your organization and how people are paid compared to their peers is critical.

  • EU Pay transparency directive

    If we look at Europe, over the last 10 years we’ve seen this proliferation of pay equity legislation at country levels. But now we have the EU Pay Transparency Directive coming and every company with a presence in Europe is talking about what their reporting is going to look like.  

  • Transparent communication

    If a company analyzes their data and realizes that pay inconsistencies have snuck in inadvertently, they can't be afraid of the message. Now that you know you can do something differently. You can work toward a more fair and equitable experience for everybody based on your compensation philosophy.

  • Data strategy

    There is more data now than we've ever had access to before and our ability to create insights and value out of that data is richer than it has ever been before. But it’s important to be proactive and create a data strategy for how you collect, store and retain data for advanced data analytics that drive desired insights and outcomes.

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