Turning Fragmented Reports into Shared Business Insight
ART replaced a global fintech's scattered, manual reporting with a Snowflake data warehouse, automated pipelines and Power BI dashboards, cutting reporting turnaround from days to hours. Product, operations and customer teams now work from consistent, real-time metrics.
The opportunity
A fast-growing global fintech had its reports scattered across different teams. The result was delays, inconsistencies and limited visibility into the customer and platform metrics the business depended on.
Reporting was prepared manually, so recurring reports took days to turn around, and the delays grew with the business.
The transformation
ART built a central data warehouse, automated the pipelines that feed it, and delivered interactive dashboards for each team.
- 01
Scalable warehousing on Snowflake
ART combined Snowflake, Python and Power BI expertise to build a scalable data warehouse, bringing customer and platform data into one place.
- 02
Automated data pipelines
ART built automated backend data pipelines and replaced manual reporting with scheduled runs and auto-refresh cycles for recurring reports.
- 03
Interactive dashboards for each team
ART built interactive Power BI dashboards for product, operations and customer teams, including 13-month trends and drill-downs into authorisations, card creation, settlements and API activity.
- 04
Cost and service tracking
The platform also provides cost analysis to support infrastructure optimisation, and improved SLA tracking and its alignment with customer satisfaction scores.
Impact
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