finance_ops · finance · workflow
Standard Chartered Bank achieves enterprise data analytics excellence across all divisions with Dataiku
Standard Chartered Bank needed an enterprise-wide data analytics platform that could handle large data volumes, serve diverse user personas from business analysts to managing directors, and advance AI and ML adoption across all divisions, while being cost-competitive against building internal custom solutions.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · DIVE team requirements engagement
The DIVE team was formed in 2020 to engage directly with business functions to understand their data analytics requirements and identify available solutions.
Tools used
DataikuTableauDataiku Academy
Outcome
Dataiku became the enterprise gold standard at Standard Chartered Bank, with 518 staff completing data science training since 2020, demand for training increasing by 400%, the FP&A team achieving a factor of 30 analyst productivity increase over spreadsheets, and the bank on track to reduce its property portfolio by 700,000 square feet to achieve a 34-million-dollar reduction in annual property cost.
Results
Volume518
Cost replaced34-million-dollar
Running since2020
Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
data extractionpredictive analyticsrecommendation systemknowledge basemetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedbankingcost reductionemployee productivitytime savedvendor customer storyback office opsfinance opsdata sync enrichment