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The Journal of Total Rewards Second Quarter 2024 | Volume 33 | No. 2 Studies of a variety of topic rewards topics, from AI and pay transparency to career advancement to analyzing a pay gap.

Course Excel Skills for Compensation Professionals Learn fundamental Excel functions and formulas to prepare and analyze compensation data.

For instance, if team members typically work a certain number of hours, and then there is a spike in time spent working, the algorithm can be trained to analyze whether this is a short-term change (perhaps due to an important deadline) or a more permanent sign of overwork.

It can also help with monitoring and analyzing industry trends and regulatory changes.

Analyzing and Auditing Providers and Processes Frequently cited methods to reduce medical expenses (in particular, those categorized as “unnecessary”) included managing vendor contracts, conducting audits, and preventing overutilization and abuse of services.

IBI analyzed two years of deidentified ComPsych program data to determine the findings, which underscored the business value of employee assistance programs (EAPs) and mental health services in curbing the long-term impacts of chronic workplace stress and medical leave.

An AI tool, however, can only analyze and learn from the data it is given, making TR’s data collection, input and review practices the first line of defense against unfair and biased compensation decisions.

In this article, we will give an overview of the main characteristics of CEO compensation of businesses listed in Europe; discuss increasing the time horizon of executive compensation to find out how top executives can be motivated to focus on long-term value creation; analyze what CEOs are being paid for in Europe by studying the different types of key performance indicators; and discuss the drivers of CEO compensation.

Access a related Workspan Daily article on this subject: Your Employee Referral Program Is Likely Underperforming; Analyze Your Data Review past referral data to see what referrals are being received and where those candidates are in the hiring process.

Sumser drew on 30 years of experience analyzing the HR tech industry and more than a decade examining the industry’s adoption of AI.