Intelligent matching brings human-like reasoning to test automation, recognising context, expected differences, and the logic behind your trading data.
Forget rigid rules
Trading organisations are under constant pressure to move faster, adapt to new markets, manage more data, and deliver reliable reporting across increasingly complex systems. But when it comes to testing and validating that data, traditional automation often hits a wall.
File-by-file comparisons, static scripts, and rigid equality checks don’t reflect the realities of how trading platforms work today. That’s why the next evolution in test automation is intelligent matching, bringing context and logic into how data is compared, validated, and trusted.
From exact matches to intelligent validation
Traditional test automation is great at speed, but not always at accuracy. It flags anything that doesn’t match exactly, even when those differences are expected or acceptable. Think of timestamp shifts, rounding differences, or identifiers that vary slightly across systems.
The result? Teams spend hours chasing “failures” that aren’t really errors. Noise grows, confidence drops, and the value of automation erodes.
Intelligent matching turns that on its head. Instead of comparing data blindly, it recognises context, expected differences, and business logic. It understands how your organisation interprets data, not just how your systems store information.
For example, it can:
- Apply tolerance thresholds for price or volume changes.
- Match on derived or transformed values, like aggregated totals.
- Validate relationships between fields, not just individual values.
The outcome is validation that mirrors how your teams think, not just how your systems align.
Why it matters for trading and risk teams
With intelligent matching, automation becomes genuinely useful, not just fast. Trading and risk teams can trust their tests again because results reflect operational reality.
That brings several advantages:
- Sharper insight: Real issues stand out clearly, without false positives.
- Lower maintenance: Rules evolve with your systems, not against them.
- Better collaboration: Ops and IT teams can agree on what “good” looks like.
- Faster change cycles: Confident sign-off enables quicker releases and updates.
In short, intelligent matching lets teams test smarter, not harder, freeing them from repetitive validation work and letting them focus on higher-value analysis.
Transforming how C/ETRM platforms are tested
As C/ETRM ecosystems become more interconnected and data-driven, the need for context-aware validation is only growing. Intelligent matching scales with that complexity, adapting as data sources multiply and integration points expand.
By aligning automated testing with real business logic, it bridges the gap between technical assurance and operational confidence. It ensures that when data moves across systems, it is not just compared; it is understood.
For teams responsible for mission-critical trading and risk platforms, that means faster releases, cleaner reconciliations, and decisions made with complete trust in underlying data.
See 'Intelligent Matching' in action
Triangle Test Automation® brings intelligent matching to life. It helps trading and risk teams validate complex data with accuracy, speed, and confidence.
Want to see how it works in practice?
Contact us to learn how Triangle can help your organisation move faster while keeping every result fully trusted.
