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CDO On-Demand

Capabilities

Five capability areas covering the full lifecycle, from the strategy that decides what is worth doing through to the systems that run once it is built. Most engagements draw on several at once.

Data Strategy

The foundation everything else rests on. We work with your leadership team to turn business objectives into a roadmap your board can approve and your team can execute.

Technologies we work in

AlationCollibraMicrosoft Purview
  • Business alignmentData initiatives that support stated business goals
  • Governance and complianceFrameworks for security and regulatory obligation
  • Value extractionClear priorities for generating return from data assets
  • Strategic roadmapImplementation plans with milestones and owners

Data Infrastructure & Engineering

Robust foundations sized to your business rather than to an enterprise. Architecture that meets current need while accommodating the growth you are planning for.

Technologies we work in

SnowflakeDatabricksBigQueryAzure Data LakeAmazon RedshiftFivetranAirflowAzure Data Factory
  • Architecture designCloud, on-premises, or hybrid, with scalability and security planned in
  • Platform implementationLakes, warehouses, and department-level marts
  • Data integrationPipelines connecting disparate sources into one reliable flow
  • MigrationMoving off legacy systems without losing the thread

Business Intelligence & Insights

Reporting that reconciles, arrives on schedule, and gives people the numbers they need without a monthly spreadsheet effort. Self-service where it helps, governed throughout.

Technologies we work in

TableauPower BILookerLooker Studio
  • Interactive dashboardsThe metrics that matter, in a form people act on
  • Performance monitoringReal-time tracking with automated alerting
  • Training and adoptionPractical skills so the tools actually get used

Advanced Analytics & Data Science

Custom models addressing specific business problems, built to be explainable and to integrate with the processes already running. Common applications include churn prediction, demand forecasting, price optimization, and segmentation.

Technologies we work in

PythonRPySparkTensorFlowVertex AIAWS SageMakerAzure MLKubeflowDataiku
  • Predictive modelingForecasting outcomes from historical patterns
  • Statistical analysisRelationships and correlations that were not visible
  • OptimizationEfficiency and cost reduction from data-driven recommendation
  • Revenue accelerationNew opportunity and improved customer lifetime value

AI & Agentic Systems

Practical applications that deliver value now while building toward what comes next, without requiring a specialist hiring program. Governance frameworks keep deployment responsible rather than merely fast.

Technologies we work in

ClaudeGeminiGPTLlamaMistralCohereOllamaHugging FaceAzure AI FoundryAWS BedrockClaude CodeGoogle Antigravity
  • AI integrationEmbedding capability into the workflows that already exist
  • Custom agentsAssistants scoped to a specific business function
  • Retrieval architectureGrounding models in your own governed data
  • AI governanceUsage policy, risk management, and audit trails

Not sure which of these you need?

Most organizations arrive describing a symptom rather than a capability, which is the right way round. A short conversation will establish which of these actually applies to the problem in front of you.

Start with a conversation.

Half an hour is usually enough to establish whether fractional leadership suits where your business currently sits, and you will get a straight answer either way. There is no obligation attached, and no proposal unless you ask for one.