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Even without a finalized federal rule, internally analyzing pay data now could help prepare employers to comply with state laws.; U.S. e mployers once again fac e the possibility of being required to report pay data to the Equal Employment Opportunity Commission (EEOC).

For WorldatWork Members Strategic HR Analytics: Driving Business Performance , Journal of Total Rewards article;People Analytics Study , research;2026 State of Rewards Report , research;2026 Total Rewards Leader Priorities , research;Compensation Programs and Practices , research;Total Rewards Inventory of Programs and Practices , research; For Everyone Improve Workforce Engagement by Measuring the Right Analytics , Workspan Daily article;Powerful Decision-Making with HR Metrics and Analytics , on-demand webinar;How to Source and Analyze Data to Increase Business Insights and Impact , on-demand webinar; Making sweeping changes to your total rewards program can be a thorny task, due to the intensely personal nature of compensation and benefits for employees.

Comp Professionals Hit Surge in Demand The clearest identifiable trend in the data we analyzed is a large surge in the demand for compensation professionals, as shown in Figure 1.

Course Program Course 1: Understanding Pay Equity Learn to analyze, measure and resolve unwanted pay differences, as well as navigate the U.S. legal and regulatory environment surrounding pay equity.

Related Courses This learning experience is part of WorldatWork’s suite of Excel mastery courses, which include: Advanced Excel Skills for Compensation Professionals;Analyzing & Automating Rewards Data with Excel;Creating a Dynamic Incentive Modeling Tool;Dynamic Arrays: Excel Turbo Charged;Excel Skills for Compensation Professionals;Excel Power Query;Job Titles & Grades: Creating an Interactive Matrix in Excel;Regression Analysis Made Easy with Excel;Working Smarter & Faster with Excel Formulas; Policies View our Return/Cancellation policies and more here .

The goal of experts is to repeat successful behaviors, improve sales processes and generate business outcomes by analyzing important data.

For example, an employer can utilize AI to analyze enrollment data and recognize that a worker is enrolled in both the HSA and 401(k) plans and then provide a tool that helps optimize contributions between the two savings vehicles.

Testing the Probability-Based Model WTW analyzed 10 years of CEO annual incentive payouts across the S&P 1500 to validate this framework.

By analyzing more than 1 billion job postings, Lightcast found in its report that among employers seeking AI-fluent workers, 10 leading skills emerged — and only two of them (AI and machine learning) are actually related to the technology.

Analyze the factors affecting women in your workplace and use that data to drive priorities and improvements.; Women are significantly less satisfied at work compared to men for the seventh year in a row, with the gap growing, according to the latest Job Satisfaction survey from The Conference Board.