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Azure, Data and Security

Data and Analytics

Reporting and analysis built on agreed definitions, with usage measured and stale reports retired.

Technologies

  • Power BI
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Microsoft Purview

Report proliferation is a symptom of unclear definitions. We agree measures with named owners first, then build against a shared model and retire what nobody opens.

Business outcomes

Decisions, not data dumps

Reports built around a decision someone has to make.

Agreed definitions

Measures documented in business language with owners.

A smaller, trusted estate

Usage measured and unused reports retired.

Capabilities

Measure definition

Core measures agreed, documented and owned.

Report design

Built for a decision, with the right level of detail.

Self-service enablement

Certified datasets and analyst coaching.

Lifecycle management

Usage monitoring, certification and retirement.

How we deliver it

  1. Assess

    Estate discovery, dependency mapping, criticality and readiness.

  2. Design

    Landing zone, network, identity, policy, cost model and operating cadence.

  3. Build

    Infrastructure as code with policy applied from the first deployment.

  4. Migrate

    Waves sequenced by risk, each rehearsed with a rollback path.

  5. Operate

    Monitoring, cost review, compliance reporting and a platform backlog.

Next step

Considering Data and Analytics?

We will give you an honest view of the effort involved, the prerequisites and the risks, before anyone signs anything.

Talk to an expert Solutions