Microsoft Fabric Updates Blog

Congratulations to the Featured Data Stories Gallery contributors for June and July!

Thank you to the Power BI Community for contributing so much in June and July!  We have a winner and an honorable mention for June and July!  We’ll announce the winners and then show you the honorable mentions.

Let’s start with June’s Featured Data Story contribution winnerThe UN Volunteers Geographic Mobilization Report by community member  andrewyap.  Those who volunteer to help others already understand the challenges with organizing a group of volunteers and ensuring help is mobilized where needed most.  The report is easy to read and for someone like me, the contrast, color scheme and the use of different visuals makes it easy to read and understand the data at a glance.

July’s Featured Data Story contribution winner:  Twitter Report  by community member Adewale_Yusuf.  A great way to see how data changes in the fast paced social media world. The report is easy to read and understand as well as being a helpful guide for making decisions based on engagement. Really like the visuals used.

Honorable mentions are: 

June – Covid-19 NSW Transport Impact   

July –  Handbol – Asobal

We’ll reach out to the winners directly!

Next month, be sure to look out for our announcement of the August winner, and we’re introducing monthly themes starting in September.  Power BI Community Featured Data Stories Gallery theme for September is “Accessibility”

Looking forward to seeing your awesome Power BI contributions on community.powerbi.com!

Kelly Kaye

Power BI MVP Lead, Power BI User Groups, Webinars, Community

Related blog posts

Congratulations to the Featured Data Stories Gallery contributors for June and July!

October 22, 2024 by bagweb

Created post for testing of index search

October 18, 2024 by bagweb

At Fabric, we’re passionate about contributing to the open-source community, particularly in areas that advance the usability and scalability of machine learning tools. One of our recent endeavors has been making substantial contributions back to the FLAML (Fast and Lightweight AutoML) project, a robust library designed to automate the tedious and complex process of machine … Continue reading “Enhancing Open Source: Fabric’s Contributions to FLAML for Scalable AutoML”