SERVICES

From messy source systems to decisions your team can trust.

We provide data engineering, analytics and business intelligence consulting for growing and mid-market companies. A reporting problem may actually be a modelling problem. A dashboard nobody trusts may be a reconciliation problem. A forecasting problem may start with unreliable source data.

The Bredge works across the data stack — from engineering and modelling to analytics, reporting and ongoing data operations — so the solution follows the problem rather than the other way around.

Start with the business question.

We don’t begin with a tool. We begin with what your team cannot currently see, trust, automate or decide — then work backwards through the data needed to answer it reliably.

THE BUSINESS QUESTION“Why did gross margin fall this month?”
SOURCESWhere the numbers come from

Product, billing, CRM, finance and operational systems — each with its own version of the customer, the order and the month.

RECONCILIATIONMake the sources agree

Resolve identity, align definitions and explain the differences instead of picking the number that looks right.

MODELLINGBuild the shared model

A structured model the whole business can query — not a spreadsheet only one person understands.

ANALYSISFind what moved, and why

Segment, compare and investigate until the fall in margin has an explanation, not just a figure.

REPORTINGPut it where decisions happen

A reporting layer built around the question, so the answer is one place — not a Monday-morning rebuild.

DECISIONAct with a number you can defend

Leadership acts on one figure everyone in the room can trace back to source.

One partner, across the disciplines the problem touches.

01

Build the foundation first.

Connect the systems your business already depends on and turn fragmented data into something reliable enough to build on.

Data ingestionAPI integrationsPipelinesSQL & PythonWarehousingTransformationData modellingSource reconciliation

Outcome. Less manual manipulation, fewer conflicting numbers and a foundation that can support reporting as the company grows.

02

Understand what is happening — and where to look next.

Move beyond static reporting into analysis designed around the decisions your teams actually make.

KPI designFunnel analysisCohortsSegmentationRetention & churnRevenue analysisOperational analysisForecasting where the data supports it

Outcome. Teams spend less time assembling information and more time acting on it.

03

Reporting people will actually use.

We build reporting around the questions a team needs answered — not around how many charts fit on a page.

Power BIExecutive dashboardsManagement reportingOperational reportingFinancial reportingSelf-service analyticsSemantic models

Outcome. A clearer operating rhythm and fewer recurring requests for someone to “pull the numbers.”

04

Make important numbers defensible.

A dashboard isn’t useful if finance, sales and operations define the same metric differently. We make critical data defined, traceable and testable.

Metric definitionsSource reconciliationQuality testingReferential integrityData lineageDocumentationKnown-limitations registers

Outcome. Your team knows what a number means, where it came from and whether it can be relied on.

05

Stop rebuilding the same answer every week.

Recurring reporting should not depend on somebody copying rows between spreadsheets every Monday morning.

Scheduled reportingAutomated transformationsRefresh workflowsException monitoringWorkflow automationOperational alerts

Outcome. Less repetitive work and more predictable access to information.

Different problems need different relationships.

ONGOING CAPABILITY

Embedded Data Team

Ongoing data capability for organisations that need a team without building every role internally.

Explore Embedded Data Teams

DEFINED SCOPE

Data Projects

Focused delivery when there is a specific problem, system or outcome to solve.

Explore Data Projects

Not sure which one you need?

That’s usually a sign the problem needs diagnosing before it needs scoping.

Start with a Data Diagnostic