Elevating carbon market analytics with Power BI and integrated data engineering

About Fastmarkets

Fastmarkets is a leading source of commodity price reporting and market intelligence. As the carbon markets matured and demand for deeper insight increased, the organisation set out to strengthen its digital offering with a suite of interactive dashboards that could support analysts and enterprise clients across voluntary and compliance markets.

Fastmarkets’ Carbon Markets division wanted to bring together project-level data, emissions modelling, and expert analysis in a connected analytics environment. Their datasets were extensive, covering global carbon-credit projects from across multiple public registries, market forecasts, and the emerging impact of CBAM. To deliver this at scale, they engaged Adroit Cloud Consulting to design, develop, and optimise several core dashboards inside their Carbon Intelligence suite.

The Challenge

Fastmarkets needed a reliable and intuitive way to present carbon-market information drawn from Snowflake, external ratings providers, and internal research teams. The business was working with large datasets that required constant updates, and analysts were spending significant time interpreting information that did not yet sit within a unified analytical experience.

The team aimed to create dashboards that could bring structure to project registries, price forecasts and CBAM exposure. To achieve this, they needed a Power BI architecture flexible enough for interactive storytelling, while remaining stable during ongoing model updates and weekly refresh cycles.

The Project Intelligence dashboards were particularly complex. They relied on dense visual layering, multiple toggle states, and a detailed navigation model, and any change risked breaking the user flow. Fastmarkets required an engineering partner who could manage that complexity, automate ratings ingestion, and provide hands-on support for data validation and refresh stability.

The Solution

Adroit joined Fastmarkets as part of their Carbon Intelligence engineering effort, taking responsibility for the end-to-end development and optimisation of several flagship dashboards. Working closely with carbon analysts and data scientists, the team built Snowflake-integrated data models using Power Query and DAX, designed to support efficient refresh cycles and near real-time updates.

A significant part of the work focused on the bookmark-driven architecture. This created a fluid navigation experience that allowed analysts to move between layers of context, explore project-level detail, and switch between analytical states without changing pages. The Project Intelligence report required particular care, as the layered structure and dependencies between visuals meant every release had to be tested thoroughly and versioned carefully.

To reduce manual effort, Adroit created Python scripts to extract BeZero Ratings via API and integrate them directly into Power BI. This removed the manual rating-update process, improving accuracy across refresh cycles.

The team also built the CBAM Exposure Dashboard, modelling emissions-linked trade exposure across industries and product categories.

Throughout the engagement, Adroit managed weekly data refreshes, validated incoming datasets, and ensured that the dashboards remained production-ready. Knowledge-transfer sessions and detailed documentation were provided to Fastmarkets’ incoming engineering resource to support long-term continuity.

The Results

Fastmarkets now has a connected suite of carbon-market dashboards that improves how analysts and clients explore project insights, pricing trends, and regulatory exposure. Manual reporting effort has reduced significantly, as automated BeZero ingestion and structured refresh processes replaced previously time-consuming updates.

The bookmark-based architecture makes the dashboards easier to navigate and present, helping analysts communicate complex concepts in a clear and accessible way. Integration with Snowflake provides the consistency needed for near real-time updates, and Python automation removes dependency on manual ratings collection.

The CBAM Exposure dashboard expanded the organisation’s ability to interpret regulatory and sector-specific data, supporting both internal research and client-facing work. Feedback from analysts has been positive, particularly around the clarity and stability of the reports and the reliability introduced through structured validation and refresh management.

Fastmarkets now has a scalable Power BI foundation that can support future enhancements as its Carbon Markets offering continues to evolve.