Self-service BI gives business users opportunities to run their own queries, analyze data, build reports, and focus on insights that are most relevant to their lines of business. The best part is that business users can do all these things with minimal efforts from IT departments.
However, before companies rush into BI deployment projects, they need to make sure that a few important requirements are met.
Educational sessions and trainings at the Community Summit are proving that modern self-service BI is made for everyone.
Lululemon Athletica, one of the world’s largest yoga and athletic wear retailer, chose Power BI as its business intelligence reporting tool.
During the Business Applications Summit (MBAS), Microsoft showed it is working to build its own eco-system to create a full data experience for all users.
Power BI introduced the smart narratives feature that allows users to add and tailor dynamic and interactive narratives to reports.
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Microsoft Fabric is revolutionizing business intelligence and data analytics by seamlessly integrating with Power BI, enhancing efficiency and user experience. Discover the power of Direct Lake, which addresses latency issues by analyzing vast data directly from data lakes, and how Co-Pilot, an AI-driven tool, automates tasks and generates insights.
In the next few articles, we will discuss possible implications, provide a critical overview, and talk about how Fabric could potentially change the landscape of Power BI and roles in the analytics industry.
In this article, we discuss the benefits of a data lake over a traditional warehouse. See how data lakes can make life easier during company mergers and acquisitions, help reduce storage costs, and get your business ready for the boom in AI applications that’s just around the corner.