From fragmented data to trading clarity: an energy consultancy case study

At a glance

SECTOR

CLIENT SIZE

DELIVERED IN

TECH STACK

3hrs

saved per week

6 weeks

to live

Energy Risk Management

2-10 Employees

6 weeks

Snowflake, dbt, Prefect, Metabase

£100k+

client savings

100%

client data ownership

The Client

A specialist energy risk management consultancy based in London approached Fidus Analytics to help modernise their data infrastructure and client reporting capabilities. The consultancy advises large corporates and generators on energy market risk and needed a scalable analytics solution to support their growing client base.


The Challenge

The consultancy was spending countless hours each week preparing client reports manually — a process that was unsustainable as their client base grew. Competitors were moving to software-driven solutions, and the pressure to modernise was real.

Key analytical processes were fragmented across spreadsheets, with knowledge concentrated in individuals. For a boutique firm where intellectual property is the core product, that represented a significant operational risk.


The Approach

Fidus Analytics took the engagement from greenfield to live — designing and building an end-to-end analytics platform tailored to the consultancy's specific risk management workflows. This included a Snowflake cloud data warehouse, automated data pipelines via Prefect and Fivetran, a full dbt transformation project with version control and CI/CD, and client-facing dashboards delivering real-time market insight.

The emphasis throughout was on building infrastructure the consultancy owned and understood — not a black box dependent on ongoing external support. From initial discovery to live platform took under two months.


The Outcome

  • Saved the team over 3 hours per week in manual reporting

  • Delivered over £100k in savings for the consultancy's clients through better insights

  • Directly contributed to an expanded client base through an improved product offering

  • Reporting that previously required significant manual effort now runs automatically


"Fidus Analytics built systems that do exactly what our clients need — processing large volumes of data, automating repetitive tasks and delivering market insights, all while retaining their intellectual property in-house. They reduced our reporting time by 3 hours per week and delivered actionable insights that directly inform client decision-making."

— Director, Energy Risk Management Consultancy, London

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