Case Study: SLB achieves faster, data-driven energy decisions with Dataiku

SLB cuts well construction tender analysis from 8 hours to 20 minutes with Dataiku

SLB, a global technology company in the energy industry, faced challenges with slow, manual data analysis processes for critical tasks like sizing well construction tenders and conducting reservoir pressure analysis. They partnered with vendor Dataiku to find a single data science and AI platform that could empower their technical experts and data scientists with no- and low-code interfaces to drive more efficient, data-driven decisions.

Using Dataiku, SLB developed automated workflows and data pipelines that significantly accelerated their analysis. The solution enabled them to analyze $10 billion in tenders 25 times faster, cut reservoir pressure analysis time by 76%, and save between $18–45 million annually in unplanned attrition costs through improved talent retention. Dataiku provided the platform for SLB to deploy AI and machine learning effectively across its core business and supporting functions.

SLB