DataOps · 05 of 6

Assessment & roadmap

Assess today's data estate, pilot one use case, then scale what works.

From assessment to run

Assesssix dimensions
Prioritiseone business pain
Pilotone pipeline in production
Scaletemplates for every team
Runagreed service levels

From assessment to run

Every engagement starts with a fixed-scope Data Maturity Assessment. Each phase ends at a go/no-go gate.

01Assess
- Platform, pipelines, process and team reviewed
- Maturity scored on six dimensions
Scorecard and ranked backlogPriorities agreed
02Prioritise
- One use case tied to a business pain
- Target architecture and success criteria
Pilot scopeGo / no-go for the pilot
03Pilot
- One pipeline in production
- CI/CD, tests, monitoring, governance from day one
A working, measured patternSuccess criteria met
04Scale
- The pattern reused across domains
- Self-service templates for data teams
Standard platform and templatesAdoption reviewed
05Run
- Operated under agreed service levels
- Maturity re-scored as the platform grows
Service reports, rising maturity

Six dimensions in, five outputs out

The assessment scores each dimension and shows which gap costs the business most. Point at one to trace it.

Dimension scoredWhat you get

Data Maturity Assessmentfixed scope

Point at a source to see what it feeds, or at a result to see where it comes from.

Standing up a DataOps function

For organisations building their own DataOps capability: a sample six-month plan from NGT's offering.

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Operating model

Roles and ownership across architecture, data engineering, DataOps and security.

SourcesNGT DataOps service offering drafts (Sep–Oct 2026)NGT DataOps & Data Platform Ops service catalogue (Sep 2026)NGT DataOps one-page offering and operating model (Sep 2026)NGT AI-First DevOps Transformation service offering (Oct 2026)NGT Google Cloud service offering v0.1