FinTech · Case study
World-Leading Financial Information Company
Existing tools couldn't keep pace with energy-sector clients. No low-latency engine, no enterprise RBAC, no room to scale.
The context
A world leader in financial information and analytics needed a near real-time analytics application for its energy-sector clients. Existing tools lacked the speed, depth and customisation the use case demanded, and any solution had to handle complex energy data at scale with enterprise-grade role-based access, deployed and maintained end-to-end.
At a glance
- Sector
- FinTech
- Headline result
- 5technologies benchmarked to select the low-latency engine
- Service lines
- AIData & Cloud Transformation
What we did
The approach.
- 01
Benchmarked the engine
Ran a structured proof-of-concept across five candidate technologies, Databricks, Snowflake, SingleStore, Kinetica and Druid, to find the one that could hold near real-time latency at scale.
- 02
Built the multi-engine stack
Databricks for data transformation, Snowflake for scalable storage, and SingleStore as the low-latency query layer powering live dashboards.
- 03
Embedded the BI layer
Delivered Energy Studio, a fully embedded BI application built on Apache Superset and Power BI, with enterprise-grade RBAC for secure, role-appropriate access.
- 04
Owned delivery end-to-end
Handled full deployment and ongoing maintenance directly, so energy-sector clients get intuitive, near real-time dashboards without operating the stack themselves.
The outcome
What changed.
Near real-time
dashboards replacing slow, generic tooling
5-way POC
completed to select the right low-latency engine
Enterprise RBAC
secure, role-based access built in from day one
More work
Other engagements.
Banking
Leading UK-Based Global Bank
Banking
Leading Financial Organisation, UK
Utilities
Leading US Power Generation & Distribution Utility
Technology
Leading US Oncology Virtual Care Provider
Utilities
Leading UK Water & Sewerage Utility
Let's talk
Want an outcome like this?
A senior engineer on the call from day one. Two weeks to a written architecture and a working reference build.