AI has the potential to transform the way pay-for-skills systems are implemented due to the vast amount of data that can be quickly analyzed. By harnessing the power of AI, organizations can leverage data analysis to determine equitable and competitive compensation levels for skills-based-pay.

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With today’s labour market and work force challenges, using aged data rather than participating and purchasing new salary surveys would be a mistake. Let’s look at the top 4 reasons why.

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Are you still relying on aged salary survey data? Dive into the top 4 reasons why relying on old survey data can lead to missed opportunies, and how participating in and using up-to-date surveys can help stretch your budget and retain the top talent your organization needs. 

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Is your organization ready to reveal your pay ranges to job candidates or employees? As pay transparency becomes increasingly more prominent, it’s more important then ever to make sure your job architecture and pay ranges are accurate and fair.

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Discover the impact that focusing on upskilling and reskilling can have and how it is one of the leading ways employers are closing the skills gap. We’ll define what upskilling and reskilling are and how some companies, like Amazon, subscribe to this practice.

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Determining whether base pay, salary ranges, benefits, and other direct and indirect compensation offerings are competitive is imperative. Here are six tips to streamline your approach to compensation planning ensuring a smooth and efficient comp planning season.

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What should you cover in compensation training for managers. Read on and explore comprehensive topics and equip yourself with the knowledge and skills needed to confidently train managers on important compensation topics.

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