Posts categorized: Features

How Microsoft Treasury uses Power BI

The Microsoft Treasury group manages $158 billion in assets, including cash and investments, account receivable, equity, and other investments. They act as an in-house bank for operations in over 190 countries, monitor thousands of bank accounts, and provide just-in-time cash management on a global basis. With a purview this large, Microsoft Treasury relies on vast amount of data in order to make fast, accurate, and actionable decisions to keep their operations running smoothly. In the past, Treasury used a combination of Excel, PowerPoint, and third-party services to analyze and present their data, but Corporate VP, Treasurer George Zinn saw the future in the integration of a different product: Microsoft Power BI.

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Find your data groove at Summit EMEA

Your data is powerful, which is why you need tools to harness it for smarter business decisions. Power BI and Dynamics 365 work side by side to deliver valuable insights that help you monitor your business, align departments, and anticipate customer needs. If you’re looking for new ways to use data visualizations, don’t miss this opportunity to attend Summit EMEA, a three-day experience for Dynamics users with a dedicated track for Power BI. You’ll learn about the latest Power BI updates and see what’s possible when you use Power BI and Dynamics 365 together.

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Power BI Service January Feature Summary

As you probably know, the Power BI service is updated weekly with fixes, updates, and new features. When we release major features in the service, we always to make sure to release a coinciding blog post, so you can stay up-to-date with the latest features in the service. Going forward, in addition to these posts for individual features, we’ll be posting monthly feature summaries for the Power BI service, similar to the posts you know and love for Power BI Desktop. So, without further ado, here’s the complete list of January updates in the Power BI service:

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Help Improve Power BI Desktop

Feedback from the Power BI community is extremely important in helping us to improve our product. Once a quarter, we conduct a survey to get insight into your level of satisfaction with Power BI and to get feedback on how to make the Desktop experience even better. This is a great opportunity to provide direct feedback to the product team. In addition, if you take the survey by 5pm PST on February 17th, you will also be entered for a chance to win a $50 AMEX giftcard.

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ZynBit Empowers Sales with Microsoft Power BI Embedded

Enrique Plaza Garcia, Product Marketing Manager of Microsoft Power BI Embedded, recently had a chance to catch up with Phil Dixon, CEO of ZynBit, to hear more about ZynBit’s innovative product and how they’ve incorporated Power BI Embedded into their offering to drive value to their customers and increase monetization opportunities for sales and marketing teams. Let’s take a look at how this successful start-up has leveraged Power BI Embedded.

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Actual Vs. Budget: Which visualization is most effective?

Comparing actual numbers against your goal or budget is one of the most common practices in data analysis. So which visual type would you choose to represent these numbers? Microsoft Design & Data Visualization Lead Miranda Li reviews some likely candidates, and talks about why some visuals work better than others for your audience.

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New blog series: Become your organization’s strategic advisor with Machine Learning and Power BI

Are you ready to put your organization on a path of continuous improvement using the most valuable decision support techniques? Check out Microsoft Senior Program Manager Christian Berg's timely series of essays on how to become your organization's strategic advisor using Machine Learning and Power BI, available on the Community Blog. Each post takes on a different aspect of business intelligence, and includes a how-to section to get you started creating customized solutions for your team. Most analysis in the posts is done using the R language, but Christian tries to keep any scripts generic enough that anyone can apply them to their own data even without prior hands-on R experience.

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