Business Intelligence Blogs

View blogs by industry experts on topics such as SSAS, SSIS, SSRS, Power BI, Performance Tuning, Azure, Big Data and much more! You can also sign up to post your own business intelligence blog.

«February 2016»
MonTueWedThuFriSatSun
25262728293031
12345

Power BI Publish to Web for Anonymous Access is Here

Earlier this week on Wednesday the Microsoft Power BI made an incredibly exciting announcement and released Power BI “publish to web” as a preview feature. This is HUUUUGE news! This was probably the top requested feature and its finally here thanks to the hard work and dedication of the Microsoft Power BI team!

Read Getting Started with R Visuals in Power BI

Power BI “publish to web” allows you to easily expose a Power BI report to the world through an iframe that can be embedded wherever you like.

To publish your Power BI report to the web, log into your Power BI site.

Find the report that you want to share and click File in the top left.
Power BI publish to web

You’ll see a message pop up box similar to below. Click the yellow button to create the embed code.
Power BI publish to web preview

This is where you’ll see a very important warning!
WARNING: Reports that you expose through the “publish to web” feature will be visible to everyone on the internet! This means NO AUTHENTICATION is required to view the report that is embedded in your application.
warning 2

Once you do that, you’ll receive an embed code that you can then use to expose your Power BI report within your blog as seen below!

https://msit.powerbi.com/view?r=eyJrIjoiYTNjNzcwNjctNTczMy00ZDMxLWFlMGUtMDViODA1NGZiNmI0IiwidCI6IjcyZjk4OGJmLTg2ZjEtNDFhZi05MWFiLTJkN2NkMDExZGI0NyIsImMiOjV9

As you can see the report maintains all the interactivity features of Power BI. And as your Power BI report updates and changes, those changes will be reflected in your embedded Power BI reports!

Pretty awesome!

Additional Resources

Read the Power BI “publish to web” announcement here.

Read the Power BI “publish to web” documentation here.

Feedback

Let me know what you think of this feature or if you have any questions. Leave a comment down below.


Read more
67
8

MDX NON EMPTY KEYWORD VS NONEMPTY FUNCTION

Non Empty vs NonEmpty

Hey everyone, in this blog I want to address a very common MDX Question. What is the difference between the NON EMPTY keyword and NONEMPTY function? To take it a step further which one should you use?

Non Empty keyword VS NONEMPTY Function.

The big difference between the NON EMPTY keyword and the NONEMPTY function is when the evaluation occurs in the MDX. The NON EMPTY keyword is the last thing that is evaluated, in other words after all axes have been evaluated then the NON EMPTY keyword is executed to remove any empty space from the final result set. The NONEMPTY function is evaluated when the specific axis is evaluated.

Should I use NON EMPTY keyword or NONEMPTY function?

Ok Mitchell, so you told me when each of these are evaluated but really you haven’t told me anything up until this point. Can you tell me which one I should use already? Well, unfortunately, it depends. Let’s walk through an example of each using the BOTTOMCOUNT function.

BOTTOMCOUNT FUNCTION with NON EMPTY Keyword

In this example I’m returning the bottom ten selling products for internet sales. Notice that I have returned all products that have no internet sales, this is not necessarily a bad thing, maybe you want to return products that don’t have sales.

image

However if you don’t want to return these products then we can try using the NON EMPTY keyword. In the below example you can see the results when I add NON EMPTY to the ROWS axis.

image

WHOOOAAA, what happened?? A lot of people would have expected the results here to show the bottom ten products that DID have sales. However, that is not the case, remember that I said the NON EMPTY keyword is evaluated LAST after all axes have been evaluated. This means that first the bottom ten selling products which have $0 in sales are first returned and then the NON EMPTY keyword removes all that empty space from the final result.

BOTTOMCOUNT function with NONEMPTY function.

So let’s try this again, if you want to return the bottom ten products that had sales then we must first remove the empty space before using the BottomCount function. Take a look at the code below:

image

In this code we first remove the empty space before using the BOTTOMCOUNT function. The result is we return the bottom ten products that had internet sales. Once again neither one is right or wrong here it just depends on what you want in your final result.

NON EMPTY Keyword vs. NONEMPTY Function – Performance

There is a very common misconception that the NONEM

Read more
91011121314
15161718192021
22232425262728
29123456

Getting Started with Microsoft Data Explorer

  • 6 March 2013
  • Author: DevinKnight
  • Number of views: 7950
  • 0 Comments

What is Data Explorer

Data Explorer simplifies the data discovery phase for Excel users that are creating self-service Business Intelligence solutions.  It does this by provided straightforward methods for connecting to data previously unheard of, without a developer, in Excel.  It also provides a basic ETL tool for those involved in self-service BI projects all within Excel.

What do I need

Currently Data Explorer is only available as a preview and works with Excel 2010 SP1 or Excel 2013.  You can download the Data Explorer preview from http://www.microsoft.com/en-us/download/details.aspx?id=36803.

Enabling the Add-in

Once you download and install the add-in you will have to enable it by going to File –> Options –> Add-Ins.  Then Select COM Add-ins from the Manage dropdown and click Go

image

Check off Microsoft “Data Explorer” Preview for Excel from the Add-Ins available list then click OK.

image

Once you have enabled the add-in the DATA EXPLORER tab will appear in the increasingly crowded Office ribbon.

image

Let’s take a look at what this new add-in has given us.

What does it do

A very detailed list of each element of Data Explorer can be found here http://office.microsoft.com/en-us/excel-help/start-page-HA104003813.aspx.

In this post I’ll walk you an example that i think all companies are starting to take a lot more seriously, which is social media sentiment.  In other words how does the public perceive our company.

With the built-in ability to import data from Facebook Data Explorer can very easily analyze things like statuses, likes. comments, and much more.  Let’s walk through an example:

  1. Launch Excel and ensure the Add-in is enables with the steps detailed above.
  2. Select the Data Explorer tab and choose From Facebook from the From Other Sources dropdown selection.
  3. image
  4. You will then be prompted to provide a UserName or object ID.  The default is “me”, which means it will allow you to import data from your personal Facebook account.  However, if you’re an administrator of a corporate Facebook page you could enter that page in here.  For example, I am an admin on the Pragmatic Works page.  So if change the default “me” to PragmaticWorks and set the Connection name to Posts I can see all posts on our corporate page.  Click Apply.
  5. image
  6. Now the true data exploration can begin.  My first step was to hide all the columns I don’t care about.  You can select multiple column headers at once and then right-click to select Hide Columns.
  7. image
  8. Now that we’ve got just the data we care about let’s analyze things like how many likes and comments we’re receiving on our posts.  You will notice on the columns for both comments and likes that the word Link is displayed.  This means there’s more data in a separate object that can be imported.
  9. If you click the word Link it will preview that data in that object as shown below when i clicked on likes.  From this I can tell there were 6 likes on this particular post.  There’s also another option if i click Table that will allow be to see the actual users that liked my corporate post.
  10. image
  11. This is great for exploring but if i actually want to add this data to my query then I would clear my likes search on the Steps page as shown below.
  12. image
  13. For my Marketing team’s analysis they really want to know a count of how many likes and comments we had on each status.  To do this I will navigate back to the likes column in my query and click the Expand button to check off new values i want to return.  For this example i just need the count of likes but if I wanted to see who actually made the like on our post I could return the data.
  14. image
  15. We have the data we want now so hit Done and all the Facebook sentiment data will be imported into Excel.
  16. Now that this data is in Excel we can create a PowerPivot workbook on it or even Power View report that looks something like this:
  17. image

Having the ability to create these kinds of report in a very short amount of time is exactly what our Marketing department needs to analysis our true reach.

Print
Tags:
Rate this article:
No rating
DevinKnight

DevinKnightDevinKnight

Other posts by DevinKnight

Please login or register to post comments.