AI People Analytics · Powered by Visier
Know whether your numbers are good — or just normal for you.
Ensaan configures Visier Benchmarks so your metrics come with context: compare turnover, cost, span and more against aggregated, anonymised data from thousands of organisations and millions of employees. Delivered in the GCC by Ensaan.
A number on its own tells you nothing
Is 15% turnover good? It depends entirely on your sector, market and role mix. Without external context, workforce metrics are just figures — benchmarks turn them into judgements you can act on.
Your metric, in context
Compare against the market
See your turnover, tenure, span, cost and diversity metrics next to aggregated peer and industry data — so a number becomes a judgement, not just a figure.
Built in, not bolted on
Benchmarks sit inside the same analytics your team already uses, so context appears alongside every metric rather than in a separate report.
Anonymised at scale
Comparisons draw on aggregated, anonymised data from thousands of organisations and millions of employees — depth no single company can assemble alone.
Why context changes decisions
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A number needs a yardstick
15% turnover is a crisis in one sector and excellent in another — only context tells you which.
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Board-credible targets
Goals set against market data are far harder to argue with than internal guesses.
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Focus where it matters
Benchmarks point you to the genuine outliers instead of the everyday noise.
From “what’s our number” to “is it good”
Spot the real outliers
Find where you genuinely diverge from the market — the sites, functions or roles that need attention — instead of reacting to every internal wobble.
Target with evidence
Set retention, cost and structure targets against external reality, so goals are credible to the board and to finance.
GCC context
Frame the numbers for a multi-national GCC workforce, where “normal” differs sharply by market and sector. (Coverage confirmed during scoping.)
Benchmarking — questions, answered.
Where does the benchmark data come from?
From aggregated, anonymised workforce data across thousands of organisations and millions of employees — scale no single company can match.
Which metrics can we benchmark?
Turnover, tenure, span, cost, diversity and more — the metrics your analytics already tracks, now with external context.
Is our data safe?
Comparisons are drawn from anonymised, aggregated data; your own data stays governed inside your Visier model.
Does it reflect GCC context?
Benchmark relevance varies by market and sector; coverage and the most relevant comparators are confirmed during scoping.
Related in the Ensaan stack
Give every metric a yardstick.
See your workforce numbers against the market — delivered in the GCC by Ensaan.