Welcome to the July update! This month we are making small multiples generally available, as well as the new model view and sensitivity labels in Desktop. Also, we have a new preview for streaming dataflows. There is much more, so read on!
Learn how using data can help you understand and improve your business. Power BI lets you easily unify data from many sources to create interactive dashboards and reports that provide actionable insights to drive your business. This training covers an overview and demo of Power BI to show how you can get maximum value out of your data in a way that was previously not possible.
Welcome to the June update! Loads of updates on connectors this time around. Also, DirectQuery support for Dataflows is now generally available! On top of that, we are happy to announce the preview of the paginated reports visual – we know many of you have been eagerly awaiting it, so take it for a spin and provide your feedback! Our Small Multiples and DirectQuery for Power BI datasets and Azure Analysis Services previews are still ongoing and receiving some updates this month. There is much more, so read on!
It’s just over a week after MBAS. The storm has quieted down, and life is back to normal. This can only mean one thing – it’s time for this month’s update! Next to all the things we covered at MBAS there are more things happening, including a new preview of visual tooltips. Next to that, you can now quickly create reports from SharePoint lists and sensitivity labels are not inherited downstream. There is so much more in this update, so read on!
Each year, Gartner invite vendors from the BI and Analytics Magic Quadrant to show how their product can help solve real-world problems and find insights in real-world data. In previous years we’ve looked into the opioid crisis in the USA, global happiness, and life expectancy. This year the impact of COVID-19 was the obvious candidate! There is a wealth of data available on the internet, and while Gartner gave us some direction for the business questions we would investigate, we could use data from any number of sources to do the analysis. In this blog post you can see what we built and we will explain how we built it.
