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.
Power view can give your excel data a new life and make it more meaningful. This will help you the get insight from data so that you can make a decision based on the data. After the add-in is enabled, it will show under the Insert tab in the Menu bar. Select Add-ins and you will see Manage dropdown at the bottom of the pop-up. Insert Power View in Excel 2016. In Excel 2016, the Power View feature has been hidden, you need to go to the Options dialog to find and enable it. Click File Options. See screenshot: 2. In the Excel Options dialog, select Add-ins from the left pane, and choose COM Add-ins from the Manage drop down list, and click GO. See screenshot: 3. Any Power View sheets in the workbook are re-created in Power BI as reports. You can continue editing your workbook. When your changes are saved, they are synchronized with the dataset in Power BI, usually within about an hour. If you need more immediate updates, you can select Publish again from Excel, and your changes are exported immediately. Hi, I have an assignment for my Excel class that is requiring me to us PowerPivot and PowerView to complete. I'm using Microsoft Excel for MAC 2011. I can't seem to find where I can add the two on the tab. Is this something that is not supported or is there a special way to get to it.
VLOOKUP is one of most powerful LOOKUP function in Excel. In this article you will learn how to find min and max value in Excel using VLOOKUP. Return Min and Max values from range or array. Syntax to Find Max Value = VLOOKUP ( MAX ( number1, number2), tablearray, colindexnum, rangelookup) Example Explanation.
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.
- Install and run Power BI on a Virtual Machine, then remote in to that Virtual Machine.
- Install and run Power BI on a PC, then use a remote viewer to control that PC.
- Use an alternative BI solution.
- 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.
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.
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.
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.
-->With Analyze in Excel, you can bring Power BI datasets into Excel, and then view and interact with them using PivotTables, charts, slicers, and other Excel features. To use Analyze in Excel you must first download the feature from Power BI, install it, and then select one or more datasets to use in Excel.
This article shows you how to install and use Analyze in Excel, describes its limitations, then provides some next steps. Here's what you'll learn:
Let's jump in, and get the installation process started.
Install Analyze in Excel
You must install Analyze in Excel from links provided in the Power BI service. Power BI detects the version of Excel you have on your computer, and automatically downloads the appropriate version (32-bit or 64-bit). You can sign in to the Power BI service using the following link:
Once you've signed in and the Power BI service is running in your browser, select More options (the ...) in the upper-right corner and then select Download > Analyze in Excel updates. This menu item applies to new installations of updates of Analyze in Excel.
Alternatively, you can navigate in the Power BI service to a dataset you want to analyze, and select the More options item for a dataset, report, or other Power BI item. From the menu that appears, select the Analyze in Excel option, as shown in the following image.
Either way, Power BI detects whether you have Analyze in Excel installed, and if not, you're prompted to download.
When you select download, Power BI detects the version of Excel you have installed and downloads the appropriate version of the Analyze in Excel installer. You see a download status in the bottom of your browser, or wherever your browser displays download progress.
When the download completes, run the installer (.msi) to install Analyze in Excel. The name of the installation process is different from Analyze in Excel; the name will be Microsoft Analysis Services OLE DB Provider as shown in the following image, or something similar.
Once it completes, you're ready to select a report in the Power BI service (or other Power BI data element, like a dataset), and then analyze it in Excel.
Connect to Power BI data
In the Power BI service, navigate to the dataset or report you want to analyze in Excel, and then:
Select the More options menu.
Select Analyze in Excel from the menu items that appear.
The following image shows selecting a report.
Note
Remember that if you select Analyze in Excel from a Report menu, it is the report's underlying dataset that is brought into Excel.
The Power BI service then creates an Excel file of the dataset that's designed (and structured) for use with Analyze in Excel, and begins a download process in your browser.
The file name matches the dataset (or report, or other data source) from which it was derived. So if the report was called Quarterly Report, then the downloaded file would be Quarterly Report.xlsx.
Note
Analyze in Excel now downloads an Excel file instead of an ODC file. This enables data protection on data exported from Power BI. The downloaded Excel file inherits the sensitivity label of the dataset chosen for Analyze in Excel.
Launch the Excel file.
Note
The first time you open the file, you may have to Enable Editing and then Enable Content, depending on your Protected view and Trusted document settings.
When using Excel to analyze Power BI using a PivotTable, Power BI extends sensitivity label inheritance to Excel. A sensitivity label applied on a Power BI dataset is automatically applied to the Excel file when you create a PivotTable in Excel.
If the label on the dataset subsequently changes to be more restrictive, the label applied to the Excel file is automatically updated upon data refresh in Excel. If the dataset changes to become less restrictive, no label inheritance or update occurs.
Sensitivity labels in Excel that were manually set are not automatically overwritten by the dataset's label. If an Excel file has a manually set sensitivity label, a policy tip will appear with a recommendation to upgrade the label.
For more information, see how to apply sensitivity labels in Power BI.
Use Excel to analyze the data
Once you've enabled editing and content, Excel presents you with an empty PivotTable and Fields list from the Power BI dataset, ready to be analyzed.
The Excel file has an MSOLAP connection string that connects to your dataset in Power BI. When you analyze or work with the data, Excel queries that dataset in Power BI and returns the results to Excel. If that dataset connects to a live data source using DirectQuery, Power BI queries the data source and returns the result to Excel.
With that connection to the data in Power BI now established, you can create PivotTables, charts, and analyze that dataset just as you would work with a local dataset in Excel.
Analyze in Excel is especially useful for Power BI datasets and reports that connect to the following data sources:
Azure Analysis Services tabular data models and SQL Server Analysis Services (SSAS) tabular or multidimensional data models
Connection to datasets from live connection to Analysis Services (Azure and SQL Server) are not currently supported
Power BI Desktop files or Excel workbooks with data models that have model measures created using Data Analysis Expressions (DAX).
With Excel for the web, you can now explore and refresh Excel workbooks connected to Power BI datasets. If you have downloaded an Analyze in Excel workbook from Power BI or connected directly to a Power BI dataset from Excel desktop, you can share and refresh these workbooks through OneDrive and SharePoint. You can copy the link to the OneDrive or SharePoint location by clicking the Share button in Excel desktop and pasting the link directly in a browser. Now you start working with PivotTables connected to Power BI datasets in Excel for the web just like you would in Excel desktop.
Important
Using Analyze in Excel exposes all detail-level data to any users with permission to the dataset.
There are a handful of things to consider when you begin using Analyze in Excel, which might require an extra step or two to reconcile. These possibilities are described in the following sections.
Sign in to Power BI
Although you’re signed in to Power BI in your browser, the first time you open a new Excel file in Excel you may be asked to sign in to Power BI with your Power BI account. This authenticates the connection from Excel to Power BI.
Users with multiple Power BI accounts
Some users have multiple Power BI accounts. If that's you, you might be signed in to Power BI with one account, but your other account has access to the dataset being used in Analyze in Excel. In that case, you might see a Forbidden error, or a sign-in failure when attempting to access a dataset that's being used in an Analyze in Excel workbook.
If that happens, you'll be provided an opportunity to sign in again, at which time you can sign in with the Power BI account that has access to the dataset being accessed by Analyze in Excel. You can also select your name in the top ribbon in Excel, which identifies which account is currently signed in. Sign out and sign back in with the other account.
Saving and sharing your new workbook
You can Save the Excel workbook you create with the Power BI dataset, just like any other workbook. However, you cannot publish or import the workbook back into Power BI, because you can only publish or import workbooks into Power BI that have data in tables, or that have a data model. Since the new workbook simply has a connection to the dataset in Power BI, publishing or importing it into Power BI would be going in circles!
Once your workbook is saved, you can share it with other Power BI users in your organization.
When a user with whom you’ve shared your workbook opens it, they’ll see your PivotTables and data as they appeared when the workbook was last saved, which may not be the latest version of the data. To get the latest data, users must use the Refresh button on the Data ribbon. And since the workbook is connecting to a dataset in Power BI, users attempting to refresh the workbook must sign in to Power BI and install the Excel updates the first time they attempt to update using this method.
Since users need to refresh the dataset, and refresh for external connections is not supported in Excel Online, it’s recommended that users open the workbook in the desktop version of Excel on their computer.
Note
Administrators for Power BI tenants can use the Power BI Admin Portal to disable the use of Analyze in Excel with on-premises datasets housed in Analysis Services (AS) databases. When that option is disabled, Analyze in Excel is disabled for AS databases, but continues to be available for use with other datasets.
Excel Powerview For Machinery
Other ways to access Power BI datasets from Excel
Users with specific Office SKUs can also connect to Power BI datasets from within Excel by using the Get Data feature in Excel. If your SKU does not support this feature, the Get Data menu option does not appear.
From the Data ribbon menu, select Get Data > From Power BI dataset as shown in the following image.
A pane appears, in which you can browse datasets to which you have access, see if datasets are certified or promoted, and determine whether data protection labels have been applied to those datasets.
For more information about getting data into Excel in this way, see Create a PivotTable from Power BI datasets in the Excel documentation.
You can also access featured tables in Excel, in the Data Types gallery. To learn more about featured tables, and how to access them, see Access Power BI featured tables in Excel (preview).
Requirements
Here are some requirements for using Analyze in Excel:
- Analyze in Excel is supported for Microsoft Excel 2010 SP1 and later.
- Excel PivotTables do not support drag-and-drop aggregation of numeric fields. Your dataset in Power BI must have pre-defined measures. Read about creating measures.
- Some organizations may have Group Policy rules that prevent installing the required Analyze in Excel updates to Excel. If you’re unable to install the updates, check with your administrator.
- Analyze in Excel requires that the dataset be in Power BI Premium or that the user have a Power BI Pro license. To learn more about the differences in functionality between license types, take a look at the Power BI features comparison section of Power BI pricing.
- Users can connect to datasets through Analyze in Excel if they have permission for the underlying dataset. A user could have this permission in a few ways, such as having the Member role in the workspace containing the dataset, or having Build permission for a dataset in a workspace or in an app that contains the dataset. Read more about Build permission for datasets.
- Guest users can't use Analyze in Excel for datasets sent from (originating from) another tenant.
- Analyze in Excel is a Power BI service feature, and isn't available in Power BI Report Server or Power BI Embedded.
- Analyze in Excel is only supported on computers running Microsoft Windows.
If you need to uninstall the Analyze in Excel feature, use the Add or remove programs system setting on your computer.
Excel Powerview For Machine
Limitations and considerations
- Row-level security (RLS) is supported for Analyze in Excel. RLS is enforced at the data-model level, and is always applied to all users accessing data in the report. Read more about row-level security.
- There may be times when using Analyze in Excel that you get an unexpected result, or the feature doesn't work as you expected. See Troubleshoot Analyze in Excel for solutions to common issues.
- Only Power BI datasets that use Import mode will preserve hierarchies in Analyze in Excel workbooks. Power BI datasets built on DirectQuery or composite models will not have their hierarchies retained when using Analyze in Excel.
Next steps
You might also be interested in the following articles:
- Access Power BI featured tables in Excel (preview).