System 01 / Financial intelligence
Fintellytics
A shared data foundation for portfolio dashboards and conversational analytics.
Full-stack engineering and data platform development at AlphaNimble.
01 / The problem
What needed
to work.
Investment data arrives from different systems, in different shapes and currencies. Reporting and AI answers need a consistent view of that data.
- 01Financial sources
- 02Normalize & reconcile
- 03Shared data model
- 04Reports & AI queries
A simplified view of the problem space; implementation details are intentionally generalized.
02 / The approach
Decisions beneath
the surface.
- 01
Normalize financial inputs into a reusable analytical data model.
- 02
Share metric definitions between dashboards and natural-language queries.
- 03
Make portfolio reporting and currency reconciliation part of the same workflow.
03 / Technologies & concepts
The working set.
04 / What it enables
A connected workflow for financial data, portfolio analytics and conversational questions.
Source notes
Contribution and stack are described in Rahul's résumé. Product capabilities are public on AlphaNimble's website. Client data and performance figures are omitted.