Data-Driven Fabric Accelerator

Our Data-Driven Fabric Accelerator has been deployed at multiple complex enterprises and rapidly reduces the time to insights with it’s metadata-driven approach and generic connectors for multiple ingestion methods

Fabric Accelerator
Data-Driven AI’s Fabric Accelerator helps organizations adopt Microsoft Fabric with speed and clarity It delivers a modern, extensible data platform that aligns with your strategic goals Built on Microsoft Fabric, the accelerator supports unified data ingestion, transformation, and analytics. It enables teams to unlock insights quickly and scale with confidence We work with you to assess your current data estate, validate architectural assumptions, and prioritize high-value use cases Our framework ensures scalability, governance, and performance based on industry best practices Whether you are modernizing legacy systems or launching new AI-driven initiatives, the Fabric Accelerator provides a clear blueprint for success. It reduces implementation risk and shortens the time to value The solution is deployed natively on Azure and Microsoft Fabric and is easily extensible with no proprietary code
Our Fabric accelerator program

Architecture and Extensibility

Fabric-Native Architecture and Metadata-Driven Ingestion

We have built the Data-Driven Fabric Accelerator as a Fabric-native, metadata ingestion engine. It supports ingestion of diverse data types including XML, CSV, Dataverse, REST APIs, CRM, and ERP systems.

Using Microsoft Fabric’s efficient native Copy Activity, ingestion is configuration-driven rather than code-based. Whether ingesting one table or fifty, only a minor configuration change is required. The accelerator includes a configurable Data Quality and Rules Validation engine with a feedback mechanism, alongside built-in monitoring and telemetry. It organizes data using the Medallion Architecture and is optimized for low operational cost.

Additional Capabilities and Extensibility

Our Delivery Approach

Choose the Outcome

We focus on your business Data Strategy by substantiating key business drivers, from which we engage with you to identify and prioritise a high-value use case.

Data-Driven Fabric Accelerator

Data-Driven will deploy our tried and tested Data-Driven Fabric Accelerator using secure, highly scalable Azure services. We will implement a key business use case, offering visible business value after 4-8 weeks.

Get Insights

We surface the insights in a Power BI report for you to extend as needed, plus an extensible data framework to achieve your business strategic goals.

Our Objective

Accelerate Time to Value

Our tried and tested Data Foundation can be automatically deployed and then modified to your needs, reducing the development time and visualising real business value quicker

Reduce Risk

Our tested framework follows best practices and security guidelines. Plus reduces the project risk failure as you can implement and measure quicker and with less initial investment.

Low-Cost Data-Driven Fabric Accelerator

Your platform comes with CloudMonitor, a cost optimisation and governance tool to help you manage your Data Platform after implementation.

Our Delivery Focus on Outcomes

Strategic Alignment and Use Case Prioritization

  • We begin by reviewing your current data estate, including data sources and existing data products.

  • This helps us understand your business drivers and identify analytics opportunities.

  • Together, we select a high-value use case that aligns with your data strategy and sets the foundation for scalable impact.

Fabric-Ready Data Platform Implementation

  • We implement a Data-Driven Fabric Accelerator tailored to your selected use case.
  • This includes ingestion, transformation, and reporting for one data source.
  • The solution is built with extensibility in mind, providing a blueprint for future advanced analytics initiatives on Microsoft Fabric.

Architecture Review and Roadmap Definition

  • We assess the proposed future-state architecture for Microsoft Fabric and provide recommendations based on industry best practices.
  • Our review considers scalability, maintainability, governance, and suitability for an organization of GMW’s size and complexity.
  • We validate key assumptions and prioritize recommendations to guide your next phases with clarity and confidence.

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