Data-platform audit

Know what to repair before you fund another rebuild.

We assess the platform from source to decision, separate verified evidence from assumptions and turn the findings into a sequenced modernisation roadmap.

Evidence labelledVerified findings stay separate from assumptions.
Vendor-neutral diagnosisRecommendations follow constraints and goals.
Risk prioritisedImpact, urgency and dependency are visible.
Actionable handoverOwners and next decisions are named.

Audit coverage

Trace the full path from source to decision.

A platform can look healthy in one layer while failures, access risk or duplicated logic accumulate elsewhere.

01 — Reliability

Pipelines and operations

Review failures, refresh windows, observability, lineage, recovery, release practices and concentration of knowledge.

02 — Trust

Models and reporting

Trace important metrics through transformation and semantic layers to find duplication, ambiguity and control gaps.

03 — Control

Security, cost and ownership

Assess access boundaries, sensitive data handling, capacity or compute use, environments and operating responsibilities.

Audit method

Observe, test, reconcile, prioritise.

The report shows what was inspected and how strongly each conclusion is supported.

Stage 1

Frame

Agree business outcomes, critical workloads, known incidents, scope boundaries and access.

Stage 2

Inspect

Review architecture, configurations, code or jobs, models, reports and operational records.

Stage 3

Reconcile

Test important claims with owners and distinguish verified evidence, gaps and unresolved questions.

Stage 4

Roadmap

Prioritise containment, repair and modernisation with dependencies, owners and decision gates.

Qualification

An audit works when findings can lead to decisions.

Executive sponsorship and safe read-only access make the assessment materially stronger.

Good fit

  • Reliability, cost, trust or delivery speed is limiting the business.
  • A sponsor can resolve access and ownership questions.
  • Platform and business owners can join evidence reviews.
  • You want prioritisation before selecting a rebuild.

Probably not yet

  • The desired recommendation has already been predetermined.
  • No evidence or environment access can be provided.
  • There is no owner to receive and act on findings.
  • The audit must certify compliance without specialist assurance.

FAQ

Audit and roadmap questions.

What does the audit examine?

Architecture, sources, pipelines, storage, models, reporting, refresh and reliability, access, costs, governance, deployment and ownership.

Does it require production access?

Read-only access to representative environments and operational evidence is preferable. Where access is constrained, the report labels those limitations.

Will you recommend a full rebuild?

Only when evidence supports it. The roadmap separates immediate risk reduction, targeted repair and longer-term modernisation.

What is delivered?

A current-state map, evidence register, prioritised risks, target principles and a sequenced roadmap with owners, dependencies and decision points.

Scope the audit

What is the platform preventing you from doing?

Tell us the stack, symptoms, critical workloads and upcoming decisions. We’ll propose an evidence-gathering scope.

Prefer email? info@datagrape.ai