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A treasury data model, predefined and yours to adapt.

Datamart

OmniFi Datamart is a purpose-built treasury data engineering platform with a best-practice, four-layer reference architecture. It extracts data from across the treasury landscape, models it for analytics, and handles time series, slowly-changing reference data, and back-dated corrections out of the box.

OmniFi Datamart layers: data extracted from Wallstreet Suite, FIS Quantum, SAP, market data and bank statements, then staged, modelled and consumed.

Building a treasury data warehouse from scratch is a project that never quite ends

Treasury data lives across TMS, ERP, market data, and banking systems in different shapes and time grains. Teams that want analytics or BI usually face a build-it-yourself data-warehouse project: modelling treasury instruments, handling time series and slowly-changing reference data, and coping with back-dated corrections that force full reprocessing. It is expensive, slow, and needs data-engineering skills treasury teams don't always have.

"Back-dated transactions created significant delays, sometimes running into weeks." Robert Freund, Business Intelligence Analyst, De Nederlandsche Bank. OmniFi Datamart gives you a treasury data model that is predefined yet adaptable.

What you can do with

Datamart

A treasury data model on day one

Valuation, transactions, cashflows, performance, risk, allocation, settlement — modelled the way treasury actually uses them, deployable as-is and adaptable without a data engineer. Skip the year of design.

Treasury reference model linking valuation, transactions, cashflows, performance, risk, allocation and settlement.
Daily snapshots for March 2026, with a late correction reprocessing 1,842 of 4.1M records in 6 minutes.

Corrections arrive late. Only the slice reprocesses

Snapshots, versioned reference data and event streams each get the right treatment. When a three-week-old correction lands, 1,842 records rerun in six minutes — not 4.1 million overnight.

Use it here. Or feed it onward

Report on it directly in OmniFi, expose it to Power BI or Tableau through OmniFi Access, or push a curated feed into Snowflake and your enterprise warehouse. One model, every consumer.

Datamart feeding OmniFi Reporting, Power BI, Snowflake and MCP.

Use cases

Treasury analytics and consolidated position reporting

A single source of truth across treasury, ERP, and bank data, ready for BI tools without per-report data wrangling.

Cross-system trend analysis and historical reporting

Time-series storage with full version handling enables longitudinal analysis without spreadsheet gymnastics.

Liquidity, risk, and exposure dashboards

Combine balances, transactions, valuations, and market data in modern BI dashboards.

Foundation for AI-powered treasury analysis

Expose structured, audit-ready treasury data to LLMs and AI agents through OmniFi's built-in MCP server.

Curated feed for an enterprise data warehouse

Deliver clean, modelled treasury data into Snowflake, Databricks, or your data lake as the treasury domain layer.

De Nederlandsche Bank
Data warehouse and reporting at scale

De Nederlandsche Bank needed to consolidate large volumes of time-series data from multiple operational systems quickly enough to support daily reporting cycles. Back-dated transactions were creating delays of weeks. SkySparc deployed OmniFi Datamart with parallelised extraction and intelligent back-dating logic. Result: processing time cut from over 100 hours to overnight, with next-day data availability.

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omnifi ai

Built for the AI era. Governed like the rest of your treasury.

OmniFi’s MCP server connects AI assistants to live data across your treasury systems. Bring your own model and keep ownership of your data.

OmniFi AI answering a question on EUR exposure by entity: EUR 193.4M at 31 March 2026, up EUR 4.1M since month-end, sources cited.

Put your treasury data to work

Book a demo and we'll show you how Datamart gives you an analytics-ready treasury data model without the build-it-yourself project.

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