I’d like to thank you all for attending the webinar held on 30th September 2016. I talked about some amazing under cover aspects of Power BI Desktop model. In this session you learnt:
In many corporations depending on the type of data is being used there could be different types of the sensitivities that should be applied to that data. Data Classification fulfills in Power BI Service this matter very easily. In today’s post you’ll learn how to setup Data Classification in Power BI Service.
First of all I want to inform you that Data Classification is NOT a sort of security or privacy setting. It is only a TAG which is all about informing Power BI users across a corporation to take extra care when they want to share data with other people inside or outside of that corporation. For instance some data might be OK to be shared externally outside the company, but, the other data might not be shared with groups of people even within that corporation.
Depending on your corporation you might have different levels of sensitivity like
High Sensitive Data
Medium Sensitive Data
Low Sensitive Data
So depending on what level of sensitivity, for instance for High Sensitive Data, the Power BI users should be really careful of who they share Power BI Dashboards and data with. In Power BI Service we can easily setup data classification on our dashboards so anyone who is looking at that dashboard is able to understand how sensitive that dashboard is and who they can share it with.
Requirements
To be able to setup Data Classification in Power BI Service you have to:
In case that you want to add another admin user,and if you already integrated your on-premises Active Directory with Azure Active Directory (AD) then you can either grant necessary admin rights to that user from your Azure portal in Azure AD or directly from Office 365 Admin Centre.
The user needs to be an Office 365 “Global Administrator” to be able to setup data classification in Power BI Service. A global administrator will have access to “Admin Portal” panel within Power BI Service which includes data classification and many more other important settings.
Make a User Global Administrator in Office 365
After you signed into your Power BI Service account,
In the previous posts, here and here, I explained how you can use Power BI Desktop Query Parameters for many different use cases. Power BI development team added another cool feature to Power BI Desktop on July 2016 which is the ability to add a List Query output to a query parameter as it’s “Suggested Values” (formerly “Allowed Values”). This feature is very useful and from now on we are not restricted to proviode a static list of values in “Manage Parameters”. In this post I show you how to use a list output in query parameters.
Note: This feature is NOT available in DirectQuery mode at the time of writing this post.
Requirements
In this post as usual I’ll connect to a SQL Server database as a sample. To be able to follow this post you have to have:
In the first post of these series I explained how to create dynamic data sources using Query Parameters. You also learnt how to use Query Parameters in Filter Rows. But, what if we want to filter query results based on the values of a column from a particular table? Previously we couldn’t answer these sort of questions if we want to filter FactInternetSales based on a selected values of EnglishProductName column from DimProductCategories using Query Parameters. But, now we can easily implement those sort of scenarios.
Let’s implement this scenario.
Loading Data into the Model:
Open Power BI Desktop
Get data from SQL Server and connect to Adventure Works DW 2016 CTP3
Select “FactInternetSales”, “DimProduct”, “DimProductSubCategory” and “DimProductCategory” tables then click “Load”
Switch to “Relationships” view to make sure the relationships detected correctly then click “Edit Queries” from the ribbon
A while ago I wrote a blog post about Power BI Publisher for Excel. Today I want to explain some new features added to the publisher. In this post you learn how to analyse Power BI data in Excel. Using the new Power BI Publisher for Excel, not only can we pin an Excel range or chart to a Power BI dashboard directly from Excel, but also we are now able to easily connect to a Power BI service, select any group workspaces and analyse a desired report or dataset.
Requirements
Desktop versions of Microsoft Excel 2007 and later
Power BI Publisher for Excel add-in will be enabled by default after you install it, however, if you don’t see the “Power BI” tab in the ribbon in Excel you can enable it from File –> Options –> Add-ins –> COM Add-ins –> tick Microsoft Publisher for Excel.
Connect to and Analyse Power BI Data in Excel
Analyse Power BI Service Reports or Datasets in Excel (From Power BI Service)
Previously we could analyse Power BI data in Excel directly from Power BI service by:
Log in to Power BI Service
Clicking ellipsis button of a desired dataset and clicking “Analyse in Excel”
Clicking ellipsis button of a desired report and clicking “Analyse in Excel”
Doing either way, it downloads an “odc” file that could be opened in Excel.
Now you can analyse the data in Excel using pivot tables and pivot charts.