Services - DataThread

Areas of Expertise

We focus on four core domains

Digital Transformation & Data Systems

Workflow digitization and automation for operations, finance, and risk.
KPI and monitoring dashboards for trading desks and industrial operations.
Data pipelines (collection, storage, modelling) for analytics and reporting.

Financial Modelling & Scenario Analysis

Pricing, forecasting, and scenario models (e.g., commodity prices, revenue, risk).
Cashflow stress testing and capital allocation models.
Portfolio and product-level profitability analysis.

Trading System Design (TradFi, Derivatives, Crypto-Native)

Architecture for automated and semi-automated trading systems.
Execution logic for market making, arbitrage, and directional strategies.
Risk guards: limits, monitoring, and alerting across multiple venues and accounts.

Industrial & Mining Process Optimization

Throughput and reliability improvements for soft rock / mining operations.
Sensor and computer-vision projects for safety and compliance.
KPI frameworks connecting engineering metrics to financial performance.

Service Packages

Tailored solutions for your specific needs

Digital Transformation & Data Foundations

Seamless, data-driven transformation that enhances operational efficiency and delivers actionable insights.

Mapping current workflows (trading, ops, finance, or plant operations).
Designing target data architecture (sources, pipelines, storage, access patterns).
Implementing or specifying:
- ETL/ELT pipelines and data models.
- BI dashboards (e.g., Power BI, custom web apps).
- Alerts and reporting routines.
Governance: access, logging, and documentation so it's auditable.

Trading firms and desks drowning in spreadsheets and manual reconciliations. Industrial or mining operations still reliant on paper, email chains, and siloed systems. Founders and COOs who know they're not getting enough value from the data they already have.

Digital Transformation & Data Foundations

Financial Modelling & Decision Support

Robust financial models that provide decision-grade insights for strategic planning and risk management.

Clarifying the business question (pricing, expansion, hedging, product strategy).
Building robust models for:
- Pricing and margin analysis.
- Commodity / FX / crypto exposure and hedging.
- Revenue and cashflow forecasts with scenario analysis.
Validating and stress-testing model assumptions.
Packaging models into user-friendly tools (Excel, dashboards, or apps).
Handover sessions and documentation.

CFOs, Heads of Finance, and founders who need decision-grade numbers, not best guesses. Commodity producers and traders needing robust price / volume scenarios. Funds and trading shops evaluating new products or strategies.

Trading System Architecture & Review

Architectural excellence for trading systems that deliver reliability, scalability, and performance.

Reviewing current trading stack:
- Connectivity (APIs, FIX, websockets).
- Strategy code and data flows.
- Risk and monitoring.
Designing or refining:
- System architecture (data server, execution engine, monitoring layer).
- Strategy deployment workflows and change control.
- Risk limits, guardrails, and alerting.
Prototyping or specifying:
- New bots or strategies (e.g., MM, arb, execution algos).
- Latency and robustness improvements.
Optionally: collaboration with your dev team to implement.

Proprietary trading firms and family offices. Market makers and liquidity providers in crypto and FX. Founders with working bots that "sort of work" but lack structure, monitoring, or scalability.

Industrial / Mining Performance & Digital Projects

Transform industrial operations with digital solutions that optimize performance and drive measurable results.

Diagnostic review of key bottlenecks (throughput, downtime, safety).
Identifying where data, automation, or ML can meaningfully move the needle.
Designing and managing:
- Digital forms, dashboards, and reporting systems.
- ML/computer vision pilots for safety or process monitoring.
- KPI frameworks linking engineering metrics to financial targets.
Vendor coordination, basic spec writing, and project oversight.

Mining and chemical operations (potash, nitrogen, phosphate) looking to modernize. Operations leaders who need a bridge between engineering teams, IT, and vendors. Organizations that have tried "digital transformation" before and got shelfware.

Service

Full-stack solutions from business problem to implementation