Case Study: Bank Rakyat Indonesia achieves faster time-to-decision and sub-minute analytics with AtScale

A AtScale Case Study

Preview of the Bank Rakyat Indonesia Case Study

How BRI Bank Accelerated Time-to-Decision for Business Intelligence with AtScale

Bank Rakyat Indonesia (BRI), one of Indonesia’s largest banks serving roughly 30 million retail clients, faced slow, costly analytics because its on‑premises data lake required sampling or multiple data marts to support executive reporting. The Enterprise Data Management team struggled with performance, storage and load times, and long query-processing cycles that forced repeated job rebuilds — so BRI engaged AtScale and its Intelligent Data Virtualization™ platform to enable faster, holistic access to their full data set.

AtScale was installed in hours and began executing queries on raw data without ETL or separate target databases, enabling self‑service access and smooth Tableau integration. The work cut a 600 million‑record processing task from 10 minutes to under a minute, reduced data build times from days to hours (allowing hundreds of insights and dozens of dashboards), and materially improved time‑to‑insight and operational performance across BRI’s banking and investment teams.


Open case study document...

Bank Rakyat Indonesia

Gede Kukuh

Division of Enterprise Data Management


AtScale

19 Case Studies