Case Study: SLB People Analytics achieves millions in talent retention savings with Dataiku

SLB Putting Data & AI to Work for Energy

SLB People Analytics needed a single data science and AI platform to make SLB’s people and talent data easier to access, reuse, and act on through no- and low-code tools. Working with Dataiku, the team set out to improve HR decision-making, employee retention, and career development while making analytics more efficient for talent managers globally.

Dataiku helped SLB People Analytics build data pipelines and predictive models that flag at-risk employees early and recommend actions on compensation, skills, or scheduling. The impact has been significant: the team estimates it has helped retain $18–45 million annually from the $80–200 million cost of unplanned attrition, while the Skills2Career Dashboard also shifted hiring toward internal upskilling and saved hundreds of thousands of dollars in recruitment and external hiring costs.

SLB People Analytics

Rakesh Jaggi

President of Digital & Integration