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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.

For the study, researchers at the Wharton School of the University of Pennsylvania and the University of Southern California’s Marshall School of Business analyzed spending habits of 30,000 consumers using data provided by a financial services company.

Key Takeaways:   Analyze emerging compensation trends and evolving Total Rewards strategies to determine their potential impact on organizational success.

We'll cover real scenarios like compensation strategy, benefits communications, employee engagement, workforce planning, preparing executive narratives, analyzing data, drafting communications, scenario planning for decisions, and translating strategy into execution.

Here’s How to Leverage It for TR , Workspan Daily Plus+ article;How Qualitative and Quantitative Data Can Influence Benefits Design , Workspan Daily Plus+ article;Strategic HR Analytics: Driving Business Performance , Journal of Total Rewards article;People Analytics Study , research; For Everyone Conjoint Analysis: What It Is and Why TR Should Consider Using It , Workspan Daily article;Improve Workforce Engagement by Measuring the Right Analytics , Workspan Daily article;How to Source and Analyze Data to Increase Business Insights and Impact , on-demand webinar;Powerful Decision-Making with HR Metrics and Analytics , on-demand webinar; Employers collectively pour $3 trillion each year into benefits programs for their workers — but due to a lack of employee understanding or utilization and outdated or clunky program design, those organizations are finding that the benefits investment often isn’t generating expected returns.

.; Analyze Data Now, analyze the data to see if a problem exists and where.

If we avoid analyzing how our operations have created obstacles in providing our members with experiences for which they are asking, we avoid ensuring that the exchange between our members and our association is everything it can be.

Context of Study and Data We analyzed employee data provided by a Japanese web-based service business company that we’ll call Internet Corp.

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.