Data platform consultancy

Make your data platform work harder, and cost less.

USSHI helps organisations cut unnecessary Databricks spend, improve platform efficiency and build data operations that scale.

The problem

Databricks gets expensive as you scale

Most platform teams know something is wasteful. Few have the time, or an independent view, to find it and prioritise the fixes.

Idle and oversized compute

Clusters left running, warehouses sized for peak load all day, and configurations nobody has revisited.

Costly queries and jobs

A small number of workloads often drive a large share of the bill, and they're rarely the ones teams expect.

No cost visibility

Weak tagging and no chargeback make it hard to see who spends what, so spend keeps growing unchecked.

Services

What we do

We start with cost, then help you build a platform that's cheaper, better governed and easier to run.

Databricks Cost Optimisation

Find waste, quantify savings and build a prioritised plan to reduce spend.

Data Platform Assessment

An independent review of your platform's efficiency, reliability and design.

Architecture & Engineering

Scalable data architecture, pipelines and automation built for how you work.

Governance & Operations

Unity Catalog, access management and runbooks that keep the platform controlled.

How it works

A simple, repeatable approach

01

Assess

We review your usage, spend and configuration.

02

Identify

We pinpoint waste and quantify what it costs you.

03

Optimise

We prioritise quick wins and structural improvements.

04

Scale

We help you build practices that keep costs under control.

Our entry point

Databricks Cost Optimisation Assessment

A fixed-scope, two-week engagement that finds and quantifies the waste in your Databricks environment, with a clear roadmap to fix it.

Days 1–3 · Discovery

Billing and usage data, workspace configuration, and interviews with your platform team and workload owners.

Days 4–8 · Deep analysis

A detailed look at where money is going and why:

  • SQL warehouse and cluster utilisation
  • Idle and underused resources
  • Expensive queries and jobs
  • Compute configuration
  • Storage and Delta table health
  • Tagging, chargeback and governance
Days 9–10 · Roadmap and readout

A written report with quantified savings and risk-ranked recommendations, presented live to your team.

What you receive

  • Findings report covering cost and utilisation
  • Prioritised roadmap with estimated £ savings per item
  • Live readout with your stakeholders
  • 30-day follow-up call to check progress
Request a quote

Why USSHI

Hands-on experience, not generic advice

Practitioner-led

Built on day-to-day experience running Databricks, Azure and Unity Catalog environments.

Low-risk to start

Fixed scope and a two-week timeline. You see the numbers before committing to any implementation.

Clear and practical

Recommendations ranked by saving and risk, written so engineers and business leaders can both act on them.

Find out where your Databricks spend is going

Tell us a little about your environment and we'll confirm scope and price after a short discovery call.

Book a Data Platform Review