Standard Chartered Bank: Driving business outcomes with data

Citing research that 80-85% of banks lack the process maturity to drive ROI from data, Standard Chartered's Data Technology division needed an enterprise-wide analytics platform for large data volumes, diverse users, and AI/ML that was more cost-effective than building in-house. In 2020 its Data Innovation Value Engagement (DIVE) team adopted Dataiku, building a Citizen Data Science Training Program, a self-service training portal, an internal user community, and coaching sessions. Results include a 30x productivity increase for FP&A analysts (two people doing the work of ~70 spreadsheet-based analysts), a $34 million annual property-cost reduction via a Space Planning and Optimization Tool, 518 staff trained since 2020, 700+ completed online courses and 123 certifications, and a 400% increase in training demand, with platform adoption more than doubling in the past year. Craig Turrell of Standard Chartered noted Dataiku's flexibility to run single operations on their own compute capacity.

Dataiku is a low-code/no-code AI platform whose Prompt Studios and LLM Mesh let teams prototype and A/B-test candidate LLM approaches before committing to a production workflow.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.