Case Study - Finance | Trading Research
Building a quantitative intelligence workbench that unifies data, insights, and decision workflows into a single high-performance environment.
- Client
- Confidential Enterprise Partner
- Year
- Service
- Data Intelligence, Decision Systems, Interface Engineering
Overview
Most enterprises rely on disconnected spreadsheets, dashboards, emails, and scattered databases to make quantitative decisions.
Analysts spend more time gathering and cleaning data than reasoning with it.
Leaders make decisions based on partial visibility and inconsistent reporting.
QB solves this by providing a unified quantitative intelligence environment—a central workbench where teams can explore data, generate insights, compare periods, and run decision workflows in real time.
QB connects operational, quality, financial, and production data into a single, reasoning-capable interface designed for speed and clarity.
What we did
- Data unification & modelling
- Semantic query & reasoning engine
- Insight automation
- Interactive quantitative workspace
- Decision-flow interface design
QB has completely transformed our analytical workflow. Everything we need—data, insights, reasoning—is finally in one place. It’s the workbench we always wanted but never had.
Enterprise Partner
- Backtest coverage for Price, Options, Reports & News.
- < 100ms
- Easy human language access for Traders.
- No Code
Technical summary
- Data Layer: Integrated datasets from ERP, MES, quality archives, financial systems, and spreadsheets.
- Semantic Engine: Built domain-aware reasoning and period comparison logic for fast insights.
- Quant Workbench UI: Designed a workspace for exploring metrics, trends, anomalies, and operational signals.
- Automation: Added instant insight generation and automatic reasoning pipelines.
- Decision Tools: Enabled users to build structured decision workflows directly within QB.
Outcome
QB delivered a measurable improvement in analytical efficiency:
- 70% faster analysis cycles, thanks to unified data and reasoning
- 90% reduction in manual data preparation, eliminating spreadsheet-heavy workflows
- 3× increase in insights generated per analyst, improving strategic decision-making
- Clearer visibility, faster reviews, and more reliable operational decisions across the organisation.
