Microsoft introduced paginated reports in Power BI to help users share information in real-time and in a clear way. The article looks at what they are and how we can benefit from using paginated reports together with Power BI.
Centida’s blog
Business Intelligence for Financial Management applications
Self-Service BI: Barriers of Deployment and How to Overcome Them
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.
Self-Service BI had Special Place at Community Summit Europe 2020
Educational sessions and trainings at the Community Summit are proving that modern self-service BI is made for everyone.
Lululemon, World’s Largest Yoga Wear Retailer Chose Power BI
Lululemon Athletica, one of the world’s largest yoga and athletic wear retailer, chose Power BI as its business intelligence reporting tool.
With Updates to Power BI, Microsoft Raises the Bar in Self-Service Analytics
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.
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Microsoft Fabric: Embrace Innovations While Treading Carefully
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.
Riding the Data Wave: Use Cases and Potential of Data Lake
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.
Data warehouse vs data lake: choosing the right data storage
With the fast development of modern data storage solutions, two popular options have emerged: data warehouses and data lakes. While both store and manage large volumes of data, they differ in terms of structure, design, and use cases. In this article, we will explore the differences between the two storage solutions, as well as the scenarios in which one may be better than the other.