From anecdote to data-led trading decisions.

Sector
Retail
Revenue
£100–200m
Engagement
Capability Build
Service line
Foundational Data

The situation.

A UK-based business had good data but no culture or capability for using it to make decisions. Having partnered with us on an advisory project, the client wanted help to embed the capability internally.

The process.

We formalised the analysis behind our advisory work to generate repeatable KPIs against key strategic initiatives, and worked with the executive team to understand current decision-making forums and processes. We identified three areas to develop: reusable reports against KPIs, a simplified central data model for querying, and the requirements for analytics hires.

The outcome.

The client has since hired an internal analytics team, and weekly trading meetings have moved from anecdote and single data points to clear, data-led decision making.

DVS quantitative analysis and recommendations provide invaluable insight to our business.
Client CFO
MORE WORK

Other engagements.

HEALTHCARE SOFTWARE · FOUNDATIONAL DATA

Monthly ARR loss cut by 79%.

Reduction in average monthly ARR loss across the period.

Read the case study
CLOUD HR SOFTWARE · FOUNDATIONAL DATA

One source of truth for ARR, across every invoicing system.

Single source-of-truth customer cube, consolidating multiple systems.

Read the case study
TECHNOLOGY · FOUNDATIONAL DATA

Fast-moving ARR, finally trackable.

Key sales metrics tracked and cross-cut in one place.

Read the case study

Get in touch

We'll walk you through how we work, the shape of a typical first engagement, and the case studies closest to your situation.

W H A T   Y O U   G E T
  • Senior, UK-based analyst leads. No offshore handoffs.
  • Six diligence pillars, one cube, one data room.
  • KPI definitions matched to your sponsor's LPA (limited partnership agreement).
  • A first finding usually within six weeks.