New AI tools are facilitating business innovation at pace, but these tools need clean, organised information to produce high-quality results. Unfortunately, data is frequently scattered across an organisation. This can be expensive and frustrating to fix.
Microsoft Fabric is an end-to-end, unified analytics platform that brings together all the data and analytics tools that organisations need. Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI. But, what sets Microsoft Fabric apart?
The complete analytics platform
Fabric is a comprehensive analytics platform designed to streamline the complexities of analytics projects. Traditionally, such projects involve multiple subsystems, each demanding a unique set of capabilities often sourced from various vendors. Integrating these components can be intricate, fragile, and costly.
With Fabric, customers leverage a unified product featuring a cohesive experience and architecture. This platform delivers all necessary capabilities for developers to extract insights from data and present them to business users seamlessly. Operating as a Software as a Service (SaaS) solution, Fabric ensures automatic integration and optimisation. Users can sign up in seconds and derive tangible business value within minutes.
Powered by AI, secure by design
Microsoft integrates Azure OpenAI Service into every layer of Fabric, unlocking the full potential of customer data. This integration allows developers to utilise generative AI with their data and helps business users discover valuable insights. With Copilot in Microsoft Fabric, users can leverage conversational language to create dataflows and data pipelines, generate code and functions, build machine learning models, and visualise results. Additionally, customers can develop their own conversational language experiences that combine Azure OpenAI Service models with their data and publish them as plug-ins.
Copilot in Microsoft Fabric builds on Microsoft’s strong commitments to data security and privacy in the enterprise. It adheres to an organisation’s security, compliance, and privacy policies, ensuring that Microsoft does not use tenant data to train the base language models that power Copilot.
Integrations to connect every business user
Cultivation of a data-driven culture is a top priority for senior leadership, ensuring every individual in their organisation makes informed decisions based on data. To support this goal, Fabric is seamlessly integrated with the Microsoft 365 applications people use daily.
Power BI is a central component of Fabric, already embedded across Microsoft 365. Through Power BI’s deep integration with popular applications like Excel, Microsoft Teams, PowerPoint, and SharePoint, relevant data from OneLake becomes easily discoverable and accessible directly from Microsoft 365. This integration helps customers derive greater value from their data.
With Fabric, Microsoft 365 apps become hubs for uncovering and applying insights. For instance, users in Excel can directly discover and analyse data from OneLake and generate a Power BI report with a single click. In Teams, data can be seamlessly integrated into everyday work through embedded channels, chat, and meeting experiences. Business users can enhance their presentations by embedding live Power BI reports in PowerPoint.
Cost reduction through unified capacities
Today’s analytics systems often combine products from multiple vendors within a single project, leading to isolated computing capacities for data integration, data engineering, data warehousing, and business intelligence. When one system is idle, its capacity cannot be utilised by another, resulting in significant wastage.
Fabric simplifies resource purchasing and management. Organisations can acquire a single pool of computing power that supports all Fabric workloads. This unified approach allows for the seamless creation of solutions leveraging multiple workloads without any friction in experience or commerce. The universal compute capacities of Fabric significantly reduce costs, as any unused capacity in one workload can be allocated to another.
