Data & Analytics Consulting

Enterprise Technology Experience

Microsoft Fabric Consultancy Services

Design, modernise, and optimise Microsoft Fabric environments across data, analytics, AI, and business intelligence.

Enterprise data and analytics consulting backed by over 15 years of technology experience.

0 +

Years in Software

Data & Analytics Expertise, Microsoft Technologies & Enterprise Delivery

Built across the major agent ecosystems

Copilot Studio

Azure AI Foundry

AWS Bedrock

Google Vertex AI

OpenAI

LangChain / LangGraph

Microsoft Fabric Challenges

Your data is spread across too many systems and analytics tools?

You want to adopt Fabric but are unsure where to start or what should move?

Your data engineering, BI, and analytics environment is becoming harder to govern and manage?

You need stronger governance, performance, or cost control as your analytics environment grows?

What We Do

A Practical Microsoft Fabric Partner for the Full Data Journey

Strategy before platform

We start with your business goals, current data estate, and target outcomes before recommending a Fabric adoption path.

Architecture that fits

We design Fabric around your existing data landscape, workloads, security requirements, and operating model.

Data engineering connected

We bring ingestion, transformation, Lakehouse, Warehouse, and analytics considerations together.

Governance from the start

We build access, security, governance, lineage, and operating controls into the Fabric environment.

Analytics that drives decisions

We connect governed Fabric data with semantic models, Power BI, and business reporting.

Optimisation beyond implementation

We help improve performance, capacity, cost, adoption, and operating practices as the environment evolves.

Our Services & Capabilities

Microsoft Fabric Strategy & Roadmap

We assess where Fabric fits in your data strategy and create a prioritised adoption roadmap. in Your Data

Fabric Architecture & Solution Design

We design a Fabric architecture aligned with your data estate, workloads, security, governance, and operating requirements.

Data Integration & Engineering

We design and implement data ingestion, transformation, orchestration, and engineering workflows across enterprise data sources.

Fabric Data Warehouse & Lakehouse

We modernise analytical data platforms using appropriate Fabric Warehouse and Lakehouse patterns.

Power BI & Semantic Models

We connect governed Fabric data to semantic models, dashboards, reporting, and decision-making.

Real-Time Intelligence

We design real-time analytics for operational, event-driven, IoT, telemetry, and streaming scenarios

Fabric Data Science & AI

We prepare governed enterprise data foundations for advanced analytics, machine learning, and AI use cases.

Governance, Security & Compliance

We establish practical controls for access, protection, discovery, lineage, monitoring, and compliance.

Fabric Capacity & Cost Optimisation

We assess workload consumption and capacity requirements and identify opportunities to improve performance and cost control.

Fabric Migration & Modernisation

We assess suitable workloads and build practical migration or modernisation plans for legacy and fragmented data environments.

Not sure where to start with Microsoft Fabric? That’s exactly what the readiness consultation is for

Where Are You in Your Fabric Journey?

Where you are	What we deliver	Where it leads
“We are evaluating Microsoft Fabric”	Readiness assessment, strategy and target-state planning	This engagement
“Our data is fragmented”	Data landscape assessment, integration and OneLake architecture	Data Integration / Fabric Architecture
“We want to modernise our data warehouse”	Warehouse assessment, target architecture and migration planning	Fabric Data Warehouse / Modernisation
“Our ETL environment is complex”	Data Factory, pipeline and transformation modernisation	Data Engineering
“We need better BI”	Semantic model, Power BI and governed analytics consulting	Power BI / Analytics
“We need real-time insights”	Streaming, event and Real-Time Intelligence architecture	Real-Time Intelligence
“We need AI-ready data”	Data engineering, governance and data science foundation	Fabric Data Science & AI
“We are concerned about governance”	Security, governance, lineage, protection and Purview planning	Governance & Security
“Fabric costs are difficult to manage”	Capacity assessment, workload analysis and cost optimisation	Capacity & Cost Optimisation
“We already use Fabric and need help”	Performance, governance, architecture and operating-model optimisation	Fabric Optimisation

Not sure where you sit? The Fabric readiness scorecard above — or a consultation — will pinpoint your priorities.

How We Engage

Free consultation

We discuss your data goals, current environment, frustrations, and what you want Fabric to achieve. No cost, no obligation.

Fabric readiness & current-state assessment

We assess your data estate, architecture, workloads, integration, governance, analytics, capacity, and team readiness.

Strategy & roadmap

We define priorities, target outcomes, adoption sequence, dependencies, and the business and technical roadmap.

Architecture & design

We design the Fabric architecture, OneLake approach, workspaces, data flows, security, governance, and workload patterns.

Implementation & modernisation

We deliver agreed Fabric workstreams with testing, rollout checkpoints, documentation, and production-readiness planning.

Enablement & adoption

We help teams understand the new environment, operating practices, governance responsibilities, and analytics workflows.

Optimise & manage

We measure, refine, and support performance, capacity, governance, cost, and ongoing business value.

It starts with a Fabric consultation. No obligation.

Why Star Knowledge

Criteria	Star Knowledge	In-House Data / IT	Generic Data / Analytics Partner
Data platform breadth	Data, analytics, AI, cloud and Microsoft technologies	Broad internal context, but constrained specialist capacity	May focus on selected data workloads
Strategy	Roadmap-led and outcome-focused	Often priority-driven and tactical	Varies by engagement
Fabric architecture	Assessment-led target-state design	Depends on internal Fabric expertise	May be platform or workload specific
Governance & security	Integrated into architecture and delivery	Internal ownership	Scope varies
Data engineering	Integration, pipelines, Lakehouse / Warehouse considerations	Internal capability varies	Often specialist-led
Power BI & analytics	Connected to Fabric data and semantic models	Internal BI capability varies	Often strong in selected BI areas
Modernisation	Migration and modernisation planning across data environments	May depend on legacy ownership	Scope depends on partner
One accountable partner	Strategy through implementation and optimisation where scoped	Internal silos may remain	May require multiple specialist providers

Case Studies

Power BI Solution for a Large Construction Company

Large US-based construction company

Power BI, Azure SQL, Azure Cosmos DB, Oracle Warehouse, Yardi, Procore, Azure Data Lake, Azure AD

Data was distributed across multiple business systems, making it difficult to create a unified reporting and analytics environment.

We integrated multiple data sources, built a data transformation layer and centralized data model, and implemented Power BI dashboards with role-based security

Microsoft Power BI Solution for an Agriculture & Farming Organization

Agriculture and farming organization

Microsoft Power BI, Data Warehouse, SSRS, Row-Level Security

Legacy SSRS reporting created a cumbersome reporting environment and made it difficult for business users to access actionable insights.

We modernized the reporting environment by building a data warehouse, implementing Power BI dashboards, and introducing row-level security.

Power BI Solution for a Large Financial Institution

Large financial institution

Power BI, Microsoft Teams, Azure Storage, SQL Server, Azure AI

Business data was spread across multiple sources, creating challenges around consolidating information and delivering timely analytics.

We integrated data from multiple enterprise sources, automated data refresh, incorporated Azure AI capabilities, and delivered centralized Power BI reporting.

Industries We Serve

Financial Services

Governed analytics, risk insights, regulatory reporting, and data consolidation.

Insurance

Claims analytics, underwriting insights, customer data, and operational reporting.

Manufacturing

Operational data, IoT analytics, supply chain intelligence, and predictive insights.

Healthcare

Data integration, governed analytics, and access controls for sensitive information.

Retail

Customer analytics, sales intelligence, inventory, and real-time insights.

Technology

Product analytics, operational intelligence, and scalable enterprise data platforms.

Professional Services

Business performance analytics, resource intelligence, and client insights.

Education

Institutional analytics, operational reporting, and data-driven decision-making.

From a focused data workload or Fabric readiness assessment to an enterprise data and analytics transformation programme.

Insights

Blog

Power BI Implementation Roadmap for Enterprises

Blog

Power BI: A Leader Among Analytics & Enterprise BI Platform

gated

AI application architecture blueprint template

guide

Building production AI applications — a CTO's guide to models, RAG, agents and cloud choices

Microsoft Fabric: Data, Analytics & AI Strategy (2026)

Microsoft Fabric brings data integration, engineering, analytics, data science, real-time intelligence, data warehousing, databases, and Power BI into a unified analytics platform. The consulting decision should therefore focus on architecture, governance, workload fit, operating model, and business outcomes—not simply platform adoption.

Fabric readiness assessment — evaluate data, architecture, workloads, governance, capacity, and team readiness before adoption.

OneLake and architecture — establish an appropriate foundation for shared enterprise data and analytics workloads.

Data engineering — modernise ingestion, transformation, orchestration, and analytical data workflows.

Governance & security — define access, protection, discovery, lineage, monitoring, and compliance practices.

Analytics & Power BI — connect governed data to semantic models, reporting, and decision-making.

Real-Time Intelligence — support event, streaming, IoT, telemetry, and operational analytics scenarios.

AI-ready data — establish trusted, governed data foundations for data science and AI use cases.

Is Microsoft Fabric right for us — and where should we start?

We start with the data estate, business objectives, architecture, workloads, governance, and operating requirements—not the assumption that every workload should move to Fabric. The outcome is a practical recommendation and prioritised roadmap.

Frequently Asked Questions

What is Microsoft Fabric consulting?

Microsoft Fabric consulting is expert guidance to evaluate, design, implement, modernise, govern, and optimise Fabric environments across data integration, engineering, analytics, Power BI, data science, real-time intelligence, and related workloads.

What does a Microsoft Fabric consultant do?

A Fabric consultant assesses your current data environment, defines an appropriate target architecture, plans workloads, addresses governance and security, supports implementation, and helps optimise the environment over time.

Is Microsoft Fabric suitable for our organisation?

Fabric can be suitable when an organisation wants a more integrated environment for data engineering, analytics, BI, data science, and related workloads. A readiness and architecture assessment helps determine whether it fits your requirements.

Can you help migrate our existing data warehouse to Fabric?

Yes. We assess the existing warehouse, workloads, dependencies, data models, reporting requirements, and migration constraints before defining an appropriate Fabric modernisation or migration roadmap.

Can Microsoft Fabric integrate with our existing data sources?

Yes. Fabric can integrate with a wide range of cloud, on-premises, application, database, and file-based data sources. The appropriate approach depends on your current architecture, source systems, data volumes, and requirements.

Do you provide Microsoft Fabric architecture and design services?

Yes. Architecture engagements can cover OneLake, workspaces, Lakehouse, Warehouse, data integration, analytics, security, governance, capacity, and operating-model considerations.

Can you help with Fabric governance and security?

Yes. Governance work can cover access, workspace structures, data protection, discovery, lineage, monitoring, policies, and compliance requirements.

Can you optimise an existing Microsoft Fabric environment?

Yes. Optimisation can focus on architecture, workloads, pipelines, performance, capacity, cost, governance, and operating practices.

Book My Free Microsoft Fabric Consultantation

Tell us the task you have in mind. We’ll assess whether an agent suits it, at what autonomy level, and what the first step should be.

+1 (312) 843-7397

info@star-knowledge.com

Typically responds within 8 business hours · Confidential