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Microsoft Powerbi For Mac

 

Want to run Power BI on a mac? We look at what your options are to get Power BI Desktop running on your mac. You have a few choices.Ideas: Power BI Designer. Power BI for Office 365 is not available for Mac but there are plenty of alternatives that runs on macOS with similar functionality. The most popular Mac alternative is Tableau. It's not free, so if you're looking for a free alternative, you could try PopSQL or Marple.

Power BI is a powerful BI tool, but it sadly doesn't support Mac devices.

A couple of years ago, I was working for a company where 90% of our staff had a MacBook and loved it, but there was no way for our Data Team to work with Power BI to build out reporting. Then we turned into another tool named Holistics, a cloud-based one.

In this post, I will share my experiences implementing Power BI on Mac OS, which I hope is helpful to you if you are looking for a solution.

Disclaimer: I fell in love with Holistics at the previous company, and am now working for Holistics!

Since Power BI can't run on a Mac, here are our recommendations to run Power BI on Macintosh Devices.

  1. Install and run Power BI on a Virtual Machine, then remote in to that Virtual Machine.
  2. Install and run Power BI on a PC, then use a remote viewer to control that PC.
  3. Use an alternative BI solution.
  4. Install Windows on Mac using Boot Camp

To give you a little context about Microsoft's plan on supporting Power BI on Mac devices, they are not considering developing Power BI desktop for Mac devices anytime soon.

You can also visit this link to keep track of their upcoming plans.

You can set-up a Windows Virtual Machine on Azure, Google Cloud or AWS.

  • Azure: https://azure.microsoft.com/en-us/services/virtual-machines/ (starting from $61/month)
  • AWS: https://aws.amazon.com/getting-started/tutorials/launch-windows-vm/

Then you install and run Power BI on that Virtual Machine.

Install coolprop excel for mac free. CoolProp installer copies a test excel file called TestExcel.xlsxon your desktop. Open it and make sure that it works fine. If it doesn't work and you cannot see the numbers, go to the Installationsheet in the same excel. At the bottom, select Manage: Excel Add-ins, then click the Go. Button Click the browse button Browse to the file CoolProp.xlam you downloaded, select it Make sure the CoolProp Add-in is selected. Microsoft Excel¶ The add-in for Microsoft Excel can also be installed from this package and it automatically determines which of the two available add-ins is needed. There is CoolProp.xla for Microsoft Office versions prior to version 2007 and CoolProp. Download CoolProp for free. A cross-platform, open-source, alternative to NIST REFPROP. Based on reference-accuracy equations of state and transport property correlations for refrigerants like Water. The Excel macro will select the correct one and use it. Download the xla and xlam files from MicrosoftExcel and activate the add-in from Excel as described below. And copy the files to a convenient accessible location. The TestExcel.xlsx from MicrosoftExcel can be copied to a working directory in My Documents.

Finally, install Microsoft Remote Desktop for Mac on each device to give your team access to that VM.

There are a couple of disadvantages to this approach, however:

  • It's difficult to control permission access and version history.
  • You can only have one person working on a machine at a time, since Power BI for desktop is not a collaborative tool.

It's a little bit the same with the first method, however, this time, you use a physical machine.

Power Bi For Mac Os

You set-up a Windows PC, install and run Power BI on that PC.

Install TeamViewer, AnyDesk, or MS Remote Desktop to give people access to that PC and use Power BI from their Macs.

Cons: same with the first method, and you have to maintain a physical PC.

Power BI is powerful — it helps your team consolidate data and build dashboards and reports with a powerful data modeling layer. It's not easy to find a great tool in the market to replace Power BI, but here are two alternative solutions I recommend which is 100% cloud-based, can replicate its functionalities, and in some cases do even more.

1. Holistics

Holistics is a powerful full-stack data platform that allows companies to set up an end-to-end, reusable, and scalable data analytics stack with minimal engineering resources.

Power Bi

It not only gives data analysts a powerful SQL-based data modeling approach, but it also helps them build a data warehouse and automate reporting. Holistics is also designed to empowers non-technical users to get insights with a strong self-service analytics offering.

Holistics vs Power BI: https://www.holistics.io/compare/holistics-vs-powerbi/

2. Looker + StitchData

Looker is a business intelligence and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.

Looker is also a powerful server-based Data Modeling BI tool, however, they don't support Data Transforms and Data Imports, so you will need another tool for that called StitchData. Together, you get all the power of Power BI with none of the Windows lock-in.

Boot Camp is a utility that helps you install Microsoft Windows 10 on your Mac, then switch between macOS and Windows when restarting your Mac.

You can learn more about how to use it here

I like Power BI's product, but it is difficult to keep using Power BI given that the tool is built exclusively for the Windows Desktop. Instead of allowing your data team to work collaboratively, your data pipeline will depend on Windows. This is difficult and restrictive if your organization works primarily on Mac.

The upshot here is that if you do not use a Microsoft-stack at your organization, a 100% cloud-based solution would be a better fit for your needs.

We’re continuously developing new capabilities to enable your digital transformation. The Power BI public product roadmap provides a glimpse into the capabilities that will become available in the next wave of product updates.

Power BI simplifies how organizations derive insights from transactional and observational data. It helps organizations create a data culture where employees can make decisions based on facts, not opinions. We’re investing in four key areas that drive a data culture: self-service analytics for everyone, a unified platform for enterprise BI, big data analytics with Azure Data Services, and pervasive artificial intelligence for BI.

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