Air Lease Eumestat UoG City of Phoenix House of Commons FDA USA Cancer Research UK INEOS Advantest DLF India Hays Recruitment McAllister Olivarius Struckton Rail Germany AUS gov UHD BAE Systems All state PoolRe Babcock International Belfast City Council Capgemini Airtel Corporation India Guidehouse Cintas Alira Health GAP Toyo Engineering DSOA

Bring data, analytics, and AI together on a single platform

Business-critical data is often scattered across different applications, databases, and repositories, making it difficult to govern, analyse, and use effectively. The result is greater complexity, higher costs, and slower decision-making.

Microsoft Fabric provides a unified platform for data management, analytics, and AI, enabling organisations to work from a shared foundation rather than a collection of disconnected technologies. With OneLake at its core, Fabric helps create a single, trusted view of information that is ready for reporting, advanced analytics, and Copilot.

Proventeq helps organisations build that foundation, combining Fabric expertise with a pragmatic approach to data integration, governance, and modernisation.

The Microsoft Fabric stack

Copilot in Power BI & Fabric Data Agents
Power BI & Direct Lake
Data Warehouse & Lakehouse
Real-Time Intelligence & KQL
Data Engineering (Spark)
Data Factory pipelines
Data Science & ML
OneLake (foundation)

Expertise to support every stage of your Fabric journey

No two organisations start from the same place. Whether you're bringing data together for the first time, expanding an existing Microsoft environment, or replacing legacy reporting and data platforms, Proventeq provides the expertise to help you move forward with confidence.
Just starting out with Microsoft Fabric

You're evaluating Fabric for the first time and need a clear strategy, target architecture, and business case before committing to a major investment.

→ Fabric & AI Readiness Assessment
→ Target architecture and capacity sizing
→ Costed roadmap and business case
→ Proof of concept on a real use case

Start with strategy
Scaling an existing Microsoft estate

You already use Power BI, Synapse, Data Factory, or Azure SQL, and want to consolidate onto Fabric to reduce overhead and unlock Copilot.

→ Synapse & ADF to Fabric migration
→ Power BI to Direct Lake modernisation
→ Semantic model consolidation
→ Copilot in Power BI enablement

Start with strategy
Modernising legacy data & reporting

You have on-premises warehouses, Hadoop clusters, SSIS packages, or legacy ECM data feeds, and the technical debt is slowing every initiative down.

→ Teradata, Oracle, Hadoop migration
→ SSIS & ADF pipeline modernisation
→ Legacy ECM data ingestion to OneLake
→ Reporting estate rationalisation

Start with strategy

The demand for insight is growing.
So is the complexity behind it.

Across industries, we see the same challenges appear time and again. If any of the following sound familiar, Microsoft Fabric may be worth a closer look.
Fragmented tooling, fragmented spend

Separate tools for integration, storage, analytics, and reporting often create unnecessary complexity. Costs rise, governance becomes harder, and ownership of the end-to-end platform becomes unclear.

Data trapped in legacy systems

Critical data often remains spread across legacy platforms, data warehouses, and third-party applications. Moving it to a modern platform can be complex, costly, and difficult to resource.

Skills gap & platform learning curve

Many organisations lack the specialist skills needed to adopt and govern Fabric effectively. Projects take longer to deliver, and value takes longer to realise.

Power BI sprawl without strategy

Years of growth can leave organisations with duplicated models, inconsistent KPIs, and competing versions of the truth. Modernising the estate without disrupting users requires careful planning.

No clear path from Fabric to AI

Deploying a modern data platform is only the first step. Trusted data, governance, and strong information models are what turn technical capability into AI outcomes.

Capacity costs spiralling

Without effective governance and cost controls, platform spend can grow faster than expected. Proving the return on modernisation becomes increasingly difficult.

Shadow Card

End-to-end services across the Fabric lifecycle.

From discovery and architecture through to managed operations; covering every workload Fabric offers and every modernisation path that leads into it.
Fabric & AI Readiness Assessment

A structured 2–3 week assessment of your data estate, target use cases, and AI readiness; delivering a costed roadmap, target architecture, and business case.

2–3 weeksFixed-price

Lakehouse Architecture & OneLake Design

Design and deploy a scalable, future-proof Lakehouse on Fabric; fully aligned to your business objectives, data strategy, and target operating model.

OneLakeDelta/Parquet

Semantic Modelling

Collaborative workshops with your stakeholders to design semantic models that deliver consistent, accurate, certified reporting across the enterprise.

Semantic models

Medallion Pipelines (Bronze / Silver / Gold)

Automated data ingestion, cleansing, and transformation using Fabric Data Factory and Spark; delivering high-quality, trustworthy data through a Bronze → Silver → Gold architecture.

Data FactorySpark / Notebooks

Real-Time Intelligence

Stream operational data into Fabric using Eventstream, query at scale with KQL and Eventhouse, and trigger automated actions with Data Activator.

EventhouseKQLActivator

Power BI Modernisation

Audit, rationalise, and modernise your Power BI estate; consolidating duplicate semantic models, moving to Direct Lake mode, and certifying enterprise-grade datasets.

Direct LakeCertified datasets

AI & Machine Learning on Fabric

Harness embedded AI and ML to identify trends, automate predictions, and surface insight where users work; using Fabric Data Science, MLflow, and Azure OpenAI integration.

MLflowAzure OpenAI

Copilot & Fabric Data Agent Enablement

Ground Copilot in Power BI and Fabric Data Agents in trusted, certified semantic models; turning Fabric into AI value users can actually rely on.

CopilotData Agents

Legacy Migration to OneLake

Migrate from on-premises warehouses (Teradata, Oracle, SQL Server), legacy lakes (Hadoop), Synapse, ADF, and SSIS, with automated mapping, validation, and zero-downtime cutover.

TeradataSynapseSSIS

How we deliver

A proven, agile approach that delivers value in weeks, not months

Our delivery methodology has been refined over 18+ years and hundreds of data and analytics engagements. It produces fast, measurable outcomes, and a platform your team can run with confidence.

1

Discover

Readiness assessment, current-state analysis, use case prioritisation, business case.

2

Design

Target architecture, semantic model, capacity sizing, roadmap, operating model.

3

Build

Lakehouse, medallion pipelines, semantic models, dashboards, AI models — agile increments.

4

Adopt

Training, enablement, change management, and structured handover to your team.

5

Optimise

Managed service, FinOps, continuous improvement, Microsoft roadmap alignment.

What success looks like with Proventeq.

A trusted, governed data foundation that delivers measurable business value and supports analytics, AI, and Copilot.
One platform, one source of truth

A unified OneLake-centred estate replacing siloed warehouses and disconnected lakes, with certified semantic models and a defensible cost model.

Trusted AI, grounded in your data

Copilot in Power BI and Fabric Data Agents grounded in certified, enterprise-grade datasets; delivering answers people can actually act on.

Measurable cost reduction

Retired legacy warehouse and ETL licences, right-sized Fabric capacity, and a clear F-SKU FinOps practice keeping spend aligned with outcomes.

Faster time to insight

Self-serve BI for business users, automated pipelines for engineers, and real-time analytics for operations; all on a single SaaS platform.

Reduced operational risk

Robust, performant, and reliable. Built on enterprise-grade database engineering patterns and Microsoft-aligned architecture from day one.

A clear path to AI ROI

Adoption metrics linked to productivity, decision speed, and innovation outcomes, so the board sees the return, not just the run-rate.

Start Migrating Your Data to Microsoft Fabric Services Today

Contact Proventeq

Talk to our experts.

Complete our contact form, email us using the relevant address below or call your local Proventeq office.

sales team
sales@proventeq.com
support team
support@proventeq.com
general enquiries
info@proventeq.com

Proventeq needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

Google reCAPTCHA collects data under Google's Privacy Policy and Terms of Service to improve security and maintain the service—it is not used for personalized ads.
Shadow Card

Specialists across the entire Microsoft data stack.
Not a generalist analytics shop.

Many partners can deliver clean Azure-SQL-to-Fabric migrations. We deliver the harder ones, and we cover the entire stack from SQL Server through to Copilot.
End-to-end Microsoft data stack expertise

From SQL Server and SSIS to Azure SQL, Synapse, Data Factory, Power BI, and Fabric, we bring deep experience across every layer. That means a fully integrated solution from source to insight, with no gaps and no handoffs.

Migration heritage on the hard sources

Most Fabric partners can ingest from clean Azure SQL. We migrate Teradata, Oracle, Hadoop, on-prem SQL Server, SSIS, and legacy ECM data feeds; moving petabytes with automated mapping, validation, and zero-downtime patterns.

AI-grounding expertise built in

Power BI semantic model engineering is our craft. We deliver certified datasets, Direct Lake performance, and Copilot grounding patterns so your AI answers users can actually trust: not generic, unreliable responses.

Outcome-led delivery with built-in KPIs

Our Microsoft Marketplace-listed Fabric offer includes KPIs that link platform adoption to compliance, productivity, and innovation outcomes. Agile delivery, value in 8–12 weeks, and a managed-service option for the long term.

Swoosh Curve
Ready to unify your data, analytics and AI on Microsoft Fabric?

Start with a no-obligation Fabric Readiness Assessment. In 2–3 weeks our data architects map your estate, define the target architecture, and deliver a costed roadmap with a clear business case.

Book a Discovery Call

Frequently Asked Questions

Do I need Microsoft Fabric if I already use Power BI and Synapse?
How long does a typical Fabric implementation take?
Can you migrate from ADF, SSIS, Synapse, or on-premises warehouses?
What's Direct Lake mode and do we need to use it?
How do you prepare data for Copilot in Power BI and Fabric Data Agents?
How do you manage Fabric F-SKU costs?
Can Proventeq train our team?
Do you work alongside our existing data team or take full delivery?
Is Fabric suitable for regulated industries?
What does success look like, and how is it measured?