Case Study: Septeni achieves lower turnover and better hiring matches with JMP predictive analytics

A data-driven human resource strategy is the key to increasing employee retention and performance

Septeni, a Tokyo-based digital advertising and media company, faced high employee turnover and mismatched hires that were limiting growth. To improve hiring and retention, Septeni turned to JMP and its predictive modeling capabilities, using employee data to better understand candidate fit, future performance, and workplace compatibility.

JMP helped Septeni analyze a growing database of employee information and build models that guided recruitment, transfers, and retention efforts. As a result, Septeni reduced turnover by moving at-risk employees into better-matched teams and using data-driven screening to hire people more likely to succeed, improving overall workforce performance.

Septeni

Tatsuya Shindo

Septeni