Microsoft was named a Leader in the 2023 Gartner Magic Quadrant for Analytics and BI Platforms. Microsoft Fabric is their latest offering – moving beyond Power BI to bring together all the data analytics systems that organisations need.
This is similar to when Microsoft successfully brought Power Query, Power View and Power Pivot under the Power BI umbrella in 2015.
In this article, we highlight the key features and capabilities of Microsoft Fabric, and explore the benefits for businesses and data professionals.
What is Microsoft Fabric?
Microsoft Fabric represents the future of analytics in the age of AI, responding to organisations’ growing reliance on data. It is designed to empower not just pro developers, but also non-technical business users through its user-friendly and low-code approach.
What makes Fabric stand out is its ability to connect all your data sources and analytics apps together in a single, AI-powered solution. It’s a comprehensive platform that integrates three of Microsoft’s most popular products – Power BI, Azure Data Factory and Azure Synapse. Fabric unifies your existing toolkit to transform the data analytics experience.
The solution brings together core workloads including data integration, engineering, warehousing, data science, real-time analytics and business intelligence. These are simplified and made easily accessible to everyone in the business.
What are the business benefits?
Microsoft Fabric is a one-stop platform where you can access all your data systems, eliminating the need to decide which tools to license and saving you valuable time. This enables you to shift your focus to making sense of your data and gaining powerful insights and results.
Designed for simplicity and accessibility, it makes data analytics available to more individuals within your business. This is in line with Power Platform’s commitment to opening up technology to non-tech employees.
With Fabric, you can take your raw information and turn it into actionable insights that inform better decision-making. Use it to create a data-driven culture where everyone is empowered to use data in their work activities.