People analytics ピープルアナリティクス

Using data about employees to make better decisions about hiring, pay, promotion and retention. Also written HR analytics, workforce analytics, talent analytics, piipuru anaritikusu.

People analytics takes information an organisation already has, such as who it hires, how they perform, what they are paid and when they leave, and uses statistics to support a decision. It differs from HR reporting in three ways: it starts from a decision rather than from the data at hand, it compares groups so that a number means something, and it tries to separate cause from coincidence.

International practice is anchored in ISO 30414, the human-capital reporting standard first published in 2018 as guidelines; the 2025 edition adds requirements that can be audited. Japan's People Analytics & HR Technology Association (ピープルアナリティクス&HRテクノロジー協会) was founded in 2018.

Japan has an unusual advantage. Since fiscal years ending on or after 31 March 2023, every company filing an annual securities report publishes its share of women managers, fathers' childcare leave uptake and gender pay gap. That makes it possible to compare a company with its industry and size peers on public data. Among listed companies with 1,000 or more staff, for example, women's share of management is 4.9% in the quarter with the lowest fathers' leave uptake and 8.9% in the quarter with the highest. That is an association, not proof that one causes the other.

What it means for a foreign employer

The full guide, with metrics, maturity levels and a worked example on 3,789 companies: People analytics.

Sources

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General information for employers, not legal advice. Thresholds and dates are checked against the sources listed and dated above; confirm anything you act on with a Japanese employment lawyer or a licensed labour and social security attorney.

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