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Some legislation requires companies to consider multiple pillars of information when determining gender predominance.

That’s according to a report from the American Opportunity Index , which analyzes the trajectories of 4.72 million employees across 396 of America’s largest companies.

Pay volatility — the percentage of skills or certifications that change in value from calendar quarter to quarter — has been fluctuating at near-record highs lately, but not in the same way across the board.

;Collect and analyze compensation actually paid (CAP) data.

The HR software company analyzed payroll data from more than 400,000 U.S. businesses and found: ;End-of-year bonuses in 2024 averaged $2,503 — 2% higher than in 2023.; ;Communications industries — the highest-performing S&P 500 sector in 2024 — had the biggest leap by far, paying out 22% higher bonuses year-over-year.; ;Increases in other industries (10% in real estate, 9% in entertainment and recreation, and 8% in retail) also reflect a strong 2024 for those sectors and business owners’ optimism.; ;Bonus amounts in some service industries were down, including personal services (down 10%) and tourism and accommodations (down 7%), potentially signaling a cooling of wage growth for service workers after several years of post-pandemic wage increases.; ;The transportation and warehousing industries also saw a 10% decrease in bonus amounts, following a downturn in freight rates, demand and revenues.; “Instead of spreading bonuses more evenly, companies may be concentrating

Moving forward likely starts with an ability to access and analyze vast amounts of data generated in most organizations ’ HR systems — f or instance, a human resource information system ( HRIS ) , applicant tracking system ( ATS ) , learning management system ( LMS ) , and/or p ayroll and ancillary information technology ( IT ) and communications systems.

Here’s How to Leverage It for TR; Quantitative Data A quantitative (left brain) data approach focuses on information that can be measured numerically and statistically analyzed.

Practitioners are always analyzing, planning, and adapting to changing needs and landscapes.

; Additional Information This course is ideal for compensation professionals who regularly use Excel to analyze large quantities of data – and who want to work faster and more efficiently.

.); Matti Vartiainen, Aalto University (Finland); Stephen Perkins, London Metropolitan University (UK); and me.