Microsoft data and analytics consulting

365 Innovator helps organisations turn fragmented data and manual reporting into trusted information that supports faster, better decisions.

Engagements can cover strategy, platform establishment, Microsoft Fabric and Power BI modernisation, health assessments, migrations, governance and practical training for technical and business teams.

Data and Analytics consulting illustration

Data strategy and platform roadmap

Start with the decisions your organisation needs to improve, the current data landscape and the constraints that shape delivery.

We assess priorities, users, governance, skills and investment options, then define a practical roadmap for Microsoft Fabric, Power BI and relevant Azure services.

Connected and trusted data

Bring operational, financial and external data together without creating another fragile reporting process.

We design secure, monitored ingestion and transformation using supported APIs, databases and files, with Microsoft Fabric Data Factory, OneLake, lakehouse or warehouse patterns selected to suit the requirement.

Power BI reporting and decision support

Give leaders and operational teams consistent measures and reports they can use with confidence.

We design semantic models, DAX measures, security and Power BI experiences around agreed business definitions, performance requirements and the way people make decisions.

Platform health, migration and optimisation

Improve an existing analytics environment or plan its next stage with evidence rather than assumptions.

Health checks can examine reliability, performance, capacity, cost, governance, deployment practices and adoption, leading to prioritised improvements or a staged migration plan with validation and knowledge transfer.

Is this the right service?

When this service is a good fit

This service is designed for organisations relying on manual reporting, disconnected data sources, low report adoption, an ageing analytics platform or an upcoming Microsoft Fabric, Power BI or Azure migration.

What you receive

Typical engagement deliverables

  • Data and analytics strategy aligned with business priorities and measurable decisions.
  • Microsoft Fabric, Power BI and Azure architecture and implementation planning.
  • Data integration, semantic modelling, quality, security and monitoring design.
  • Platform health checks covering performance, cost, governance and adoption.
  • Migration plans with risks, dependencies, delivery stages and validation criteria.
  • Practical enablement for technical teams, report authors and business users.

A clear delivery path

How we work with you

Each engagement is shaped around the problem, stakeholders and constraints, with clear decisions and knowledge transfer throughout delivery.

  1. DiscoverClarify goals, users, current systems, risks and success measures.
  2. DesignAgree the approach, architecture, controls, delivery stages and responsibilities.
  3. DeliverBuild or improve the solution with regular reviews, testing and transparent decisions.
  4. EnableDocument, train, hand over and establish the next improvement priorities.

Common questions

Frequently asked questions

Do we need to move everything to Microsoft Fabric?

No. The right approach depends on your existing investments, use cases, skills, licensing and governance requirements. An assessment can identify what should remain, change or be phased over time.

Can you improve an existing Power BI environment?

Yes. An engagement can focus on semantic models, report performance, workspace design, deployment practices, security, cost, governance or user adoption without requiring a complete rebuild.

Can Databricks and Microsoft services work together?

Yes. Where it is the best fit, the architecture can combine Databricks with Microsoft Fabric, Azure services and Power BI while keeping ownership, integration and operational responsibilities clear.

Start with your business goal

Tell us what you want to improve and where you are today. We will use that context to prepare a focused first conversation.