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Radford McLagan Compensation Database
Location Analytics
The world of work has changed dramatically in the past few years, with remote and flexible working models becoming the new norm for many organizations. As a result, employers need to adapt their workforce strategy to the changing needs and expectations of their talent, as well as the evolving market conditions and opportunities.
One of the key challenges that employers face is how to manage compensation across different locations, especially when they have employees working in different countries, regions, or cities.
- How do you ensure that your pay practices are fair, competitive, and aligned with your business objectives?
- How do you balance the cost of living, the availability of talent, and the local market dynamics in each location?
- How do you identify and access new and emerging markets for your talent needs?
Answering these questions requires comparing, analyzing, and planning your compensation strategy across different locations.
Visually Compare Locations
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Interactive Map
Easily select and compare compensation across multiple locations using a simple yet powerful map experience.
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Job Library
Build any combination of jobs that reflect your company's unique talent needs and see insights for selected locations in real-time.
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Powerful Search
Quickly find jobs that are most important to you -- even if you don't know the exact title -- with our advanced search experience.
Compare Relative Compensation Costs
Now you can glean insights on relative pay levels globally using our real-time calculation of composite pay differentials -- for locations that matter to you -- based on the combination of jobs that you have selected.
Pinpoint Global Talent Availability
Visualize distribution of talent globally using headcount data from our Radford McLagan Compensation Database so you can see where there is -- and isn't --talent availability for priority jobs in different locations.
Gain Insights into Emerging Markets
Our proprietary "Smart Differentials" experience provides you with insights, even where limited market data is available. Now you can supplement or fill in gaps, especially in regions with low data coverage, leveraging our powerful AI Pay Inference engine that leverages machine learning to predict compensation metrics, based on embedded categorical variables and deep layers and trained on historic compensation survey data.
More Actionable Analytics
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Talent Intelligence
With new jobs emerging, talent showing up in diverse locations, and the rapid evolution of workforce skills, robust market data for the job offers you need to make is not always available. Talent Intelligence harnesses machine learning to predict pay and solve this challenge.
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Talent Metrics
We provide clients with vital talent metrics to inform their compensation and workforce planning activities, including salary increase budgets, turnover rates, and gender and ethnicity (U.S. only) distributions, among many other items.
Explore the Complete Radford McLagan Compensation Database
Benchmark pay, assess market practices and access actionable talent analytics across more than 8,700 organizations with 30 million employees.
