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,
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.
Another cool feature is adding Synonyms to the model. Power BI Synonyms can significantly improve the Q&A and query experience. With synonyms, we can now add descriptions to the data model objects such as tables, columns and measures in the Power BI Desktop. The descriptive information could include names that the end-users may possibly use to refer to an object or abbreviations used across the business. Addin these descriptions or, as the name suggests, synonyms makes using Q&A even easier for our customers to find what they are looking for. The customers don’t know all table, column or measure names. Defining a standard list of names for tables, columns, or measures makes Q&A much more helpful.
For instance, we can add the following synonyms:
Note:The following tables and columns are from AdventureWorksDW.
Original Name
Object Type
Synonym
FactInternetSales
Table
Internet Sales, InternetSales
OrderQuantity
Column
Order Quantity, Order Qty, ord qty
SalesAmount
Column
Sales Amount, Sales Amt, Internet Sales Amount, Internet Sales Amt
TaxAmt
Column
Tax Amount, Tax Amt
Freight
Column
freight
OrderDate
Column
order date
How it works
It’s easy to set up synonyms in Power BI Desktop. Switch to Model view, then click “Synonyms” from the “Modeling” tab from the ribbon. Then, simply enter the synonyms.
After we publish a Power BI Desktop model to Power BI Service, the synonyms will play a great role in Q&A so that when the customer types “ord qty” the Q&A engine will recognise it as “OrderQuantity” and display the results. It’s really cool, isn’t it?
But let’s think a little bit out of the box. What if we add some translations as synonyms? Hmm. I think it would be really great if a Spanish customer could type Spanish column names in Q&A rather than English. I added some translations to FactInternetSales columns and DimDate columns.
Thanks to Google Translate for French and Spanish translations. Sorry French and Spanish guys, if the translation looks funny.
Now, I publish the model to Power BI Service. To do so, just click on “Publish” from the “Home” tab from the ribbon.