Talent Analytics: Why Only 9% Know What Drives Their People's Performance
Key takeaways
- Only 9% believe they understand which talent dimensions drive performance (Deloitte): most are deciding blind.
- The three barriers: siloed data, tools that report but don't interpret, and lack of adoption.
- The other 91% pay the price in turnover, failed promotions, and misallocated hours.
- Useful analytics isn't another dashboard: it's the decision the data enables.
Only 9% of companies believe they understand which talent dimensions drive performance, according to Deloitte. Put another way: nine out of ten make their people decisions, the most expensive and hardest to reverse, with the same confidence one uses to guess the weather.
of companies believe they understand which talent dimensions drive performance.
Why so few use it
- 1
Siloed data
HRIS, payroll, performance reviews, and surveys live in separate systems that don't talk to each other.
- 2
Tools that report, not interpret
Systems record what happened; they don't tell you what decision that data enables.
- 3
Lack of adoption
Solutions that require yet another app and another login end up unused, and without data there's no analytics.
What the other 91% are losing
What you lose is not a good-looking report. It is decisions. Without analytics, your best people resign and it surprises you, promotions get decided by tenure, development is spread evenly with no idea who it helps, and you keep paying hours for work a machine would do better. The cost never shows up on an invoice, but it is in every one of those places.
Analytics isn't another dashboard
Useful talent analytics does not end in a chart. It ends in a decision: who to invest in, who to develop and what to automate, per person and with evidence.
From analytics to decision
Escal8 clears all three barriers at once: it sits on top of the systems you already use, it interprets each person across eight dimensions instead of just recording them, and it does so through a conversation with Kova on WhatsApp or the platform, with over 90% adoption. Analytics stops being a project and becomes a decision ready to make.
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