Where trac adds value

Governed execution for your critical analytics workflows

trac is not a modelling tool or data platform. It provides a controlled execution method for workflows where calculations are complex, scrutiny is high, reproducibility is mandatory.

A common pattern across use cases.

Typically, production runs, exploratory analysis, and model validation are carried out in separate environments—requiring data to be replicated and model logic to be reimplemented.

trac brings these together in a single execution framework—eliminating duplication and ensuring every workflow is transparent, auditable, and reproducible.

Production reporting cycles

Control, certainty and reproducibility

TRAC supports the controlled execution of recurring, high-impact calculations such as IFRS 9, capital, liquidity, and regulatory reporting. These workflows demand absolute confidence — both at the point of execution and long after results have been produced.

With TRAC:

  • Every run can be reproduced exactly at the push of a button
  • Full lineage across inputs, transformations, and outputs
  • Documentation generated automatically as part of execution
  • Compare results across reporting cycles to explain changes

Always know what ran, how it ran, and why results changed.

Exploratory and analytic workflows

Safe experimentation with production models and data

Production calculations don’t stop at a single run. Teams need to run scenarios, test assumptions, and understand how results change. These workflows are inherently iterative—run and often time-critical.

trac transforms this type of activity:

  • No need for seperate offline tools
  • Use any prior run as a jumpiing-off point
  • Vary inputs, model versions and assumptions
  • Compare impacts with full traceability

trac allows teams to iterate directly on production runs—enabling both scenario analysis and explanatory analytics without duplication or loss of governance.

Model risk, validation and monitoring

Consistent, reproducible validation and oversight

Model validation and monitoring are often fragmented, manual, and difficult to reproduce. Tests are reimplemented, results are hard to trace, and evidence is assembled retrospectively. TRAC treats validation and monitoring as first-class, governed workflows.

With trac, model monitoring and validation tests:

  • Run using the same execution framework as production
  • Can safely reuse production data and model code
  • Are documented, versioned, and repeatable

Guaranteed consistency between production use and MRM analytics without duplication or reimplementation.

What this enables

trac eliminates the need to rebuild models, replicate data, or manage parallel environments—while ensuring every workflow is transparent, auditable, and reproducible.

Explore how trac fits your workflow

Across production, analysis, model monitoring, and validation workflows.

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