What makes a profitability model successful? It is more than getting the calculations to run. This 12-part series shares practical lessons from real-world EPCM implementations, covering the design decisions that help create models that are scalable, explainable, maintainable, and trusted by the business.
The start and introduction of our blog series, "Designing Profitability Models You Can Trust". Learn all about the series and what to expect.
Published: 08-13-2026

Start with the business questions and decisions the model needs to support before designing the methodology or technology.
Release Date: 08-20-2026

EPCM build time is only part of the timeline. Data, methodology, ownership, reconciliation strategy, and user readiness often determine when a project is truly ready to move forward.
Release Date: 08-27-2026

Profitability models create visibility, and visibility can challenge assumptions. Building understanding and trust early is critical to adoption.
Release Date: 09-10-2026

A well-designed data model balances scalability, reporting, traceability, reconciliation, and maintainability without modeling every possible detail.
Release Date: 09-24-2026

More detail does not automatically create more value. The right grain supports the calculations and traceability the business needs without unnecessary complexity or volume.
Release Date: 10-08-2026

The best driver is not always the easiest one to source. Drivers should reflect business behavior and be defensible to the people who own the process.
Release Date: 10-22-2026

Choose the allocation path based on business logic, traceability, performance, and the level of intermediate detail the business actually needs.
Release Date: 11-05-2026

Complexity should earn its place in the model. Keep logic understandable and maintainable, and challenge exceptions that add more burden than value.
Release Date: 11-19-2026

Traceability cannot be an afterthought. Build the model so users can understand where results came from and validate how costs moved.
Release Date: 12-03-2026

Most performance problems begin with design choices. Dimensionality, rule scope, allocation paths, aggregation, and data volume all matter before tuning begins.
Release Date: 12-17-2026

Integration shapes the model itself. Data ownership, metadata alignment, reconciliation, timing, and repeatable data movement need to be considered from the start.
Release Date: 12-31-2026

A profitability model only delivers value when people can consume, understand, reconcile, and act on its results
Release Date: 01-14-2027
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