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Power BI Desktop is a powerful business analytics tool that helps you visualize data and insights. Whether you are a business owner, analyst, or data professional, using the latest version of Power BI is crucial to make the most out of its features.

To update Power BI Desktop is a straightforward process that involves downloading and installing the latest version of the software from Microsoft.

However, before updating, it is important to know what version you’re currently running, what features will be available with the new update, and how those features will affect your data sources, datasets, refresh schedules, and sharing options.

This guide will walk you through the step-by-step process of updating Power, including how to check your build version, how to update the software, and how to troubleshoot any potential issues.

Let’s get into it.

Before you download a Power BI Desktop update, it’s essential to check the version currently installed on your system. Ensuring you are using the latest version helps in accessing new features, improvements, and bug fixes.

Here is how you can check your Power BI Desktop version:

1. Start by launching Power BI Desktop. Once open, navigate to the “Help” tab located in the top menu bar. In the “Help” tab, select “About” on the far right.

2. In the “About” window, you will find information about your Power BI Desktop installation, including the “Version” details. This displays the release number corresponding to your installed version. Note this release number down as you might need it later.

3. To verify if this is the latest version available, visit the Power BI Desktop latest update page on the Microsoft website. Compare the version number mentioned there with the one installed on your system. The webpage also has a feature summary, so you know what you’re getting from an update.

If your version of Power BI Desktop is out of date, then you have two options:

Manually update it via the Microsoft Power BI website or

Update it through the Microsoft Store. We take a look at both of those options in the next two sections.

If you downloaded Power BI Desktop through the Microsoft Store, updating the software can be done automatically.

This is especially useful for users with Windows 10 and above, as the Microsoft Store’s automatic updates will keep Power BI Desktop up-to-date without any manual intervention required.

To ensure that Power BI Desktop updates automatically, follow these steps:

Open the Microsoft Store app on your computer.

Under “App updates,” toggle on the option for “Update apps automatically.”

By enabling this setting, your Power BI Desktop will be updated to the latest version as soon as it becomes available.

This ensures that you always have access to the newest features and improvements without having to manually check for updates or download the latest installer from the Power BI website.

Remember: regardless of how you install Power BI Desktop, the monthly versions are the same. The only difference may be in version numbering, but rest assured that your Microsoft Store installation will provide you with the most recent updates and enhancements to the software.

Updating Power BI Desktop via the official website is a manual but straightforward process that ensures you have access to the newest features and improvements. Here are the steps to follow:

Go to the Microsoft Power BI Desktop download page.

Once the download is complete, launch the installer and follow the on-screen instructions to update your existing Power BI Desktop installation, and voila! You’re done!

Whether you choose to update it manually or automatically via the Microsoft Store, you can set up automatic notifications about new updates inside Power BI Desktop. We cover how you can turn on update notifications in the next section.

Power BI Desktop can let you know when a new version of the software is available, so turn on notifications to stay informed about available updates and important information.

You can enable notifications by following these steps:

1. Open Power BI Desktop and select ‘File’ to access settings.

Once enabled, Power BI Desktop will check for updates automatically and notify you when a new version is available.

Now that we’ve covered how you can update Power BI Desktop and turn on alerts for new updates, in the next section, we’re going to take a look at potential issues you might run into and how to deal with them.

Power BI has two deployment options:

Power BI Service: This is a cloud-based service that allows users to create, share, and access reports and dashboards over the Internet via a web browser or a mobile app. It is updated monthly.

Power BI Report Server: This is an on-premises deployment option for Power BI that allows users to host and share Power BI reports and dashboards within their own organization. Power BI Report Server provides the same capabilities as Power BI Service but with added control over data and security. It is updated every quarter.

Power BI Desktop users can publish reports using either of the two deployment options. Updating Power BI Desktop doesn’t directly affect them, as both Power BI Service and Power BI Report Server are separate platforms that are not directly impacted by changes made to Power BI Desktop.

However, an update could indirectly impact them in the following ways:

Compatibility: When creating reports or visualizations in Power BI Desktop, it’s important to ensure compatibility with the version of Power BI Service or Power BI Report Server that will be used to deploy the content. An update may introduce new features or changes that are not compatible with older versions of the Power BI Service or Power BI Report Server, so do consider compatibility when making an update.

Feature availability: Updates may introduce new features or functionalities that are only available in the latest version of Power BI Service or Power BI Report Server. This means that some features or functionalities may not be available if an older version of Power BI Service or Power BI Report Server is being used.

Performance: An update may improve the performance and stability of the reports and visualizations you’ve created, which can indirectly improve the performance of your content when deployed to Power BI Service or Power BI Report Server.

It’s important to consider the above factors when updating Power BI Desktop to ensure a seamless deployment experience. To prevent accidental loss of work, keep backups of your reports before updating them.

If you have any questions or run into any issues after an update, create a post in the Power Bi community forum. In the next section, we cover how you can troubleshoot any update issues you run into.

Updates can sometimes run into issues that can prevent them from completing successfully. This section focuses on common problems and their solutions.

First, ensure that the installed version of Power BI Desktop is not obsolete. You can find the version number by following the instructions in the first section of this guide.

If the installed version is not the latest, consider uninstalling the current version and downloading the latest Power BI Desktop from Microsoft’s website.

If issues persist, try the following steps:

Clear your browser cache. Formatting the cache can help resolve issues related to cached credentials or outdated files in the browser.

Sign in to Power BI and go to this Microsoft page to force an update of your credentials.

Check the Power BI service status to ensure there are no ongoing issues with Microsoft servers, which may be preventing the update.

Disable any proxy, firewall, SQL server, or antivirus program that could be blocking the update process. Remember to re-enable them after the update is complete.

Lastly, if none of the above solutions resolve the issue, consider asking for help from the Power BI community or contacting Microsoft Support for additional guidance.

Keeping Power BI Desktop updated is important if you want to preview features added by Microsoft and remain competitive in the ever-evolving data analysis landscape.

For a hassle-free Power BI Desktop update experience, install the application via the Microsoft Store on Windows 10+ systems. This will guarantee automatic updates so you can focus your energy on data analysis rather than manual software maintenance.

If the Microsoft Store version is not an option, you can still download and install updates manually from the Microsoft Power BI website.

It’s also important to ensure that updates are compatible with the version of Power BI Service or Power BI Report Server you’re using and consider the impact on the features, functionality, and performance of your reports and visualizations.

By keeping Power BI Desktop updated, your workspace gets the most out of this powerful tool for business intelligence and interactive data visualization!

Would you like to learn more about how to use Power BI? Check out the tutorials playlist below:

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How To Create A Power Bi Heat Map

A Power BI heat map is a type of visualization that is used to show data density on a map. It is a graphical representation of data where the individual values contained in a matrix are represented as colors. In this tutorial, I’ll discuss how we can create a Power BI heat map using a matrix table.

For this demonstration, we’ll be using the insurance complaints data from Enterprise DNA’s Power BI Challenge #6. If you want to use this data, you can go to the showcases section and check out all the challenges.

This report is all about analyzing the number of complaints by regions and by years. In the matrix table, we’ll put years, regions, and a simple measure that counts the number of complaints. 

This is the measure that counts the number of complaints in the table.

Heat maps can tell us a lot of information. For example, if we go back to the previous page, we’ll see that March, April, and October have the highest number of complaints. 

We can also see that the highest number of complaints from 2023-2023 are from the Midwest region.

The analysis that a heat map provides is very easy to understand. Now, let’s try to recreate this example in this tutorial.

First, bring in the Matrix table visualization. 

Next, put the Year and Region on the Rows field. 

Then, disable the Background. 

Select None under the Style selection.

Under the Column headers, remove the outline by selecting None from the Outline selection. 

After that, place the months (Short Month) in the Columns field. 

Then, put the No. Of Complaints measure in the Values section.

The table should now look like this. But we don’t need the Totals on the rows and columns. 

To remove that, disable the Row subtotals and Columns subtotals under the Subtotals pane. 

For the second part, we need to apply the conditional formatting for the heat map. We have to enable the Background color under the Conditional formatting pane.

Make sure that the Diverging color is selected. This will enable us to set a color for Minimum, Center, and Maximum values. 

Let’s choose a lighter color for the Lowest value, a darker one for the Middle, and the darkest for the Highest value.

We now have this output where the rows and column numbers are hidden.

Let’s now increase the size of the cells. We can do that by increasing the Text size under the Visualizations pane.

Then, let’s remove these headers. 

We currently don’t have the option to disable the column headers. What we can do is to change the text colors with the color of the background. 

Use a color picker to get the color of the background. 

Then, change the text color of the column headers.

As a result, the column headers are now hidden. 

Let’s then hide the visual header tooltips. Under the Visual header tooltip, set the Transparency to 100%.

Then, turn off the Visual header tooltip. 

For this part, we’ll be adding 3 bar charts that will display the values for 2023, 2023, and 2023. First, let’s add a bar chart and align it properly to its corresponding row in the matrix table.  

We can use either the measure for the number of complaints or percentage of complaints here. However, the % of Complaints measure will be more useful in this case. 

Therefore, let’s place the measure for the percentage of complaints (% of Complaints) in the Values field. 

Then, place the Region on the Axis field.

However, the order of the data in the bar chart is not the same with the order of data in the matrix table. So, we need to sort it by Region.

Then, sort it by ascending order. 

Now, the data from the bar chart values should look like this. 

Let’s then turn off the Title and the Background for the bar chart.

Let’s also remove the titles or labels.

To remove them, just turn off the Title under the Y axis and X axis. 

Then, toggle off the Y axis and X axis as well. 

For this part, we can do the exact same steps that we did in modifying the matrix visual. Check the Diverging checkbox, then assign colors to the Lowest, Middle, and Highest values.

Then, turn off the Legend toggle.

We can also turn off the Gridlines under the X axis. 

To increase the height of the bars, simply adjust the Inner padding on the Y axis.

We can now align this with our grids on the heat map visual. Just go to the General pane and adjust the Y Position. It’s better to manually position the visual when we’re doing just a small adjustment.

After that, turn on the Data labels for the bar charts. 

Then, position the data labels inside by selecting Inside end in the Position selection.

Restrict this bar chart to the year 2023. To do that, just bring the Year measure in the Filters pane. 

Select Basic filtering for the Filter type.

Then, set it to the year 2023.

Before creating the bar chart for 2023 and 2023, let’s hide the Visual header tooltip of the bar chart.

Set the Transparency to 100%, then disable the Visual header tooltip. 

 Duplicate the first bar chart to create the 2023 row.

Then, change the filter to the year 2023.

Just do the same steps to create the bar chart for the year 2023. Make sure to change the filter to the year 2023.

For the column chart at the top, just duplicate the bar chart that we have created. 

Then, change it to a column chart.

Turn off the Title for the Y axis. 

Let’s also remove the Region on the Axis. 

Then, place the month (Short Month) on the Axis. 

For this chart, we’ll display the X axis.

Then, decrease the Inner padding to make it look better. 

For the Data labels, change the Position to Outside end. 

Then, align it properly to the matrix table. 

In this native heat map, the position will relatively change when we try to filter it by a particular category.

Another cool trick that we can do is adding a card visual.

Resize and position it properly in front of the 2023 row. 

In this card visual, we’ll be showing the total percentage of complaints in 2023. To do that, just put the % of Complaints measure in the Fields.

Then, put Year in the Filters pane as well. 

Change the Filter type to Basic Filtering. 

After changing the filter type, select the year 2023. 

Turn off the Title, Category and Background.

Then, change the color of the Data label.

We can do the same for the 2023 and 2023 rows as well. Just duplicate the first card visual and position it accordingly.

Don’t forget to change the year on the Filters pane for the 2023 and 2023 rows. 

For the third card visual, adjust the color to make it more visible.

Now we can see that the year 2023 has the highest number of complaints. 

That’s how you can easily create a heat map in your Power BI reports for visualization. You can also get creative by integrating the other visuals that are available in Power BI such as bar charts and card visuals. The process is not that complicated.

In fact, the whole process of creation only requires a better understanding of what output you want to achieve along with the available visualizations and custom features in Power BI. Check out the links below for more examples and related content.

Until next time,


Power Bi Template Creation: Guide & Tips

Today, you will learn how to create your perfect Power BI template file that is configured to your preferences and settings. This will save you 20 to 30 minutes every time you start up a Power BI report and will make Power BI work exactly the way you want it to. You can watch the full video of this tutorial at the bottom of this blog.

Let’s start with a color theme. To use a custom Enterprise DNA color theme, go to View and then Browse for themes. 

The next step is to create a date table. I always recommend using Melissa de Korte’s extended date table, but I like a particular version that uses a day offset in addition to all the fields she incorporates.

In the Analyst Hub, go to Community and open EDNA Extended Date Table with DayOffset. 

You can always extend or shorten the parameters in the formula bar quickly. You simply change it to a date table as shown in the image below. 

Even though Power BI has added a NETWORKDAYS function, I recommend the version that Imke Feldmann developed. His version incorporates directly into Power BI as an offset. 

To use this version, go back to the Analyst Hub and go to the Community repository. Search for Imke Feldmann Networkdays Offset Custom Function and open the file. 

Copy the code back to Power Query. 

Next, open the Advanced Editor and paste the function.

Rename it to fxNetworkday. 

The next step is to go to your date table, Add Column, and Invoke Custom Function. 

Move the date table (Dates) to the Model. That does it for Power Query, so you can now Close & Apply. 

To edit the options, go to the File tab and open Options and settings. 

There are a number of options that I recommend turning off. I detest the Auto detect new relationships after data is loaded because it creates a ton of problems with the model.

Also, turn off Import relationships from data sources on first load. These options can be found under Current File then Data Load in the left pane.

In the Report settings, check Change default visual interaction from cross highlight to cross filtering and Use modern visual tooltips with drill actions and updated styling. 

Power BI features numerous external tools available for use. In this tutorial, you will use some of the custom Enterprise DNA external tools.

After changing the options, the next thing to do is use external tools to further modify your date table. So, go to External Tools and start with the Power Sort Pro. 

I recommend doing this because I believe auto-sum just creates a ton of problems. Finally, choose Key Measures in the drop-down under All Measures and check the box as shown in the image. 

If you look at your dates table after this step, you will see all the aggregations are turned off and your dates are all in the proper format. It takes a little bit of time for that to update, so you may need to wait for a while. 

You are almost done! One of the last things you need to do is modify the visualization pane.

James Dale’s Icon Map is a better map visual, so you will use that as the replacement. 

There are other visuals that you may include in the defaults, such as Deneb, HTML, CSS, and Zebra BI visuals. You can use them as options to configure the pane based on your preferences, but you will not go through them in this tutorial. 

There are a couple more things to cover to complete your Power BI template. At this point, you will add a blank button to your template so that you can insert your logos. 

Go to Insert, Buttons, and choose Blank in the dropdown. 

Afterward, turn on Action, choose Web URL under Type, and add your URL (e.g., Then, for the Tool Tip, put the Text that you want to show. In the sample image below, you can see that the text says to go to the Enterprise DNA site.

You can add a whole series of buttons such as mailto button or a button to your LinkedIn profile or other social media accounts. What you did earlier is just an example of how you can add a blank button.

Basically, this creates the template for the JSON file. You can see that you already have a starter template, a description, and the path to Power BI. The only thing to do is to paste the path that you copied into the Arguments box. Keep the window open for now.

The last step in creating your perfect Power BI template is creating an icon via Base64. This website has good features in terms of image optimization and creating smaller files. Make sure that this feature is Enabled as shown below.

After completing the last step, you can now shut down Power BI and let the changes take effect. You don’t need to save changes because you have already done that.

You should see it creating the date and measures table, inserting the Icon Map and your logo, and everything should be set up and ready to go. The image below shows what your final template should look like. 

All the best,

Brian Julius

Power Bi Tutorial: What Is Power Bi? Why Use? Dax Examples

Before we understand PowerBI, lets learn:

What is BI?

Business intelligence is a technology-driven method which helps you to analyze data and to provide actionable information which helps corporate executives, business managers, and other users to make informed business decisions.

In this Microsoft Power BI tutorial for beginners, you will learn Power BI basics like:

What is Power BI?

Power BI is a Business Intelligence and Data Visualization tool for converting data from various data sources into interactive dashboards and analysis reports. Power BI offers cloud-based services for interactive visualizations with a simple interface for end users to create their own reports and dashboards.

Different Power BI versions like Desktop, Service-based (SaaS), and mobile Power BI apps are used for different platforms. It provides multiple software connectors and services for business intelligence.

In this Power BI training, you will learn all the important concepts of Power BI and develop a foundational understanding of how to use Power BI tool.

Why use Power BI?

Here are the most prominent use of Power BI tool:

Pre-built dashboards and reports for SaaS Solutions

Power BI allows real-time dashboard updates.

Offers Secure and reliable connection to your data sources in the cloud or on-premises

Power BI offers Quick deployment, hybrid configuration, and secure environment.

Allows data exploration using natural language query

Offers feature for dashboard visualization regularly updated with the community.

Types of Power BI tools

Now in this Power BI desktop tutorial, we will learn about types of Power BI tools.

Some Important Power BI tools are:

Power BI Desktop

Power BI desktop is the primary authoring and publishing tool for Power BI. Developers and power users use it to create brand new models and reports from scratch.

Costs: Free

Power BI service

Online Software as a Service (SaaS) where Powe Bl data models, reports, dashboards are hosted. Administration, sharing, collaboration happens in the cloud.

Pro license: $10/users/month

Power BI Data Gateway

Power BI Data Gateway works as the bridge between the Power Bl Service and on-premise data sources like DirectQuery, Import, Live Query. It is Installed by Bl Admin.

Power BI Report Server

It can host paginated reports, KPIs, mobile reports, & Power Bl Desktop reports. It is updated every 4 months and installed/managed by the IT team. The users can modify Power Bl reports other reports created by the development team.

Power BI Mobile Apps

Power BI mobile app is available for iOS, Android, Windows. It can be managed using Microsoft Intune. You can use this tool to view reports and dashboards on the Power Bl Service Report Server.

Data sources for the Power BI

Data source Description

Excel (.xlsx, xlxm) A workbook can have data entered manually or data, which is queried and loaded from external data sources.

Comma Separated Value (.csv) Files are simple text files with rows of data. Every row can contain one or more values, which is separated by a comma.

Power BI Desktop (.pbi) You can use Power BI Desktop to query and load data from external data sources.

Databases in the Cloud It allows you to connect live to Azure SQL Database, Azure SQL Data Warehouse, etc.

Databases on-premises You can connect directly to SQL Server Analysis Services Relational model databases. A Power BI Enterprise Gateway is required.

Key terms used in Power BI

Term Description

Visualization A visual display of information to achieve one or more objective. It offers a single-screen display of information. It alerts users on issues or problems Operational, Performance, Personal, etc.

Datasets A dataset is something which you import or connect to. Datasets can be renamed, refreshed, removes, and explored.

Dashboard The dashboard is a collection which contains zero or more tiles and widgets. It is used to represent a customized view of some subset of the underlying datasets.

A Power BI report is one or multiple pages of visualizations. It can be created from scratch, imported to a dashboard, and created using datasets.

Tile It a single visualization found in a report or on a rectangular dashboard box which contains each visual.

History of Power BI

Power BI was conceptualized by Ruler and Dhers Netz of the SQL server coverage services team at Microsoft.

It was designed by West Chadic George in the year 2010 and named as a Project Crescent.

In 2011, It was bundled with SQL Server Codenamed Mount McKinley.

Microsoft unveiled the first preview to Power BI in September 2014.

The first version of Power BI released on 24 July 2023. It was based on Excel Based Add-ins like Power Query, Pivot, view, and Map.

Architecture of Power BI

Architecture of Power BI

Data Integration:

An organization needs to work with data which comes from different sources which can be in various file formats. The data should be extracted from a different source which can be from different servers or databases. This data is integrated into one standard format in a common staging area.

Data Processing:

In this stage, the integrated data is still not prepared for visualization as the data needs processing. This data is pre-processed. For example, redundant values, missing values will be removed from the data set.

The business rule should be applied to the data when the data is cleaned. You can load that data back to Data Warehouse.

Data Presentation

Once the data is loaded and processed, it can be visualized much better with use of various visualization that Power Bi has to offer. Use of dashboard and report helps one represent data more intuitively. This visual report helps business end users to take business decision based on the insights.

Install and run Power BI Desktop

And select Download free button

Step 2) You will be redirected to a Microsoft store and select Get button.

Step 4) You can see progress status on the screen.

Step 5) Before welcome screen you will ask to register to enter.

Step 6) When you run Power BI Desktop, a Welcome screen is displayed.

Power BI Dashboard

Below figure demonstrates the Power BI Dashboard:

Power Bl Desktop is an enlargement tool used to generate dashboards and reports. Power Bl applications will be accessed by other users through desktop and mobile devices.

There are Power BI components are 5 main components released in the market.

Power Query: It can be used to search, access, and transform public and/ or internal data sources.

Power Pivot: It is used for data modeling for in-memory analytics.

Power View: This component allows you to visualize, analyze, and display data.

Power Map: It brings data to life with interactive geographical visualization.

Power BI Service: It allows you to share data views and workbooks, which you can refresh from on-premises and cloud-based data sources.

Power BI Q&A: It allows you to ask questions and get immediate answers using a natural language query.

Data Management Gateway: It offers periodic data refreshers, view data feeds, expose tables.

Data Catalog: This component allows the user to discover and reuse queries using the Data Catalog. Metadata can be facilitated for search functionality.

What is Dax Function?

DAX is a formula expression language which is called (DAX) which can be used with various visualization tools like Power BI. It is also known as a functional language, where the full code is kept inside a function. DAX programming formulas contain two data types: Numeric and Other.

Each is linked to the other by having common columns. Here is a simple diagram of Power BI Dashboard Example showing the relationships.

There are 3 things in Power BI where you can use


Calculated Columns



Let’s see all these Power BI examples and see how DAX functions works.

Calculated Columns

Calculated column allows you to create new columns based on the given data.

For example, there is no ‘ Final price’ column available in the Items table. Here, the DAX function is used to calculate a new column when only total price & quantity are available.

Price = List_Items[MRP]*List_Items[Qty]

In the data shown in above Power BI example, each row will now have the respective calculated price.


You can perform a calculation using measure without the need to add any data as shown in the below Power BI example. This is very helpful for reports where the price can be displayed, without requiring an entirely new column to store it.


1] Total of the MRP column * Total of Qty column


DAX functions in tabular model return entire tables. For example, In order to generate a list of all the country the organization has clients in, use the function:

cities touched = DISTINCT(Customers[City])

A word on Filters

Filters hide rows that don’t fit given criteria. A calculation after filtering out data will be applicable only on a row which matches those criteria.

Power BI DAX Functions

Some Important DAX functions are:


This DAX function allows you to find the average from a given set of values as shown in the below Power BI example.

Example –

AvgComm = AVERAGE(List_Items[Price])


Helps you to find the maximum from a given set of values.

Example – Find out the highest order.

HighSale = MAX(List_Items[Price])


Helps you to find the minimum set of values.

Example – Allows you to find out the lowest order.

LowestSale = MIN(List_Items[Price])


Count any umerical data.

Example – Count number of ticket issued.

TicketVolume = COUNT(Invoices[Ticket])


This function helps you to join values in calculated columns. You can use ConcatenateX if using in measures.

Example – Concatenate the Item names, and MRPs will give a unique code for all the price points at which each product is sold.

ProMrp = CONCATENATE(List_Items[Item],List_Items[MRP])


The function allows you to calculate the sum from the start of the current Year to the specified date. It performs calculate base on a calendar year, not a financial year.

Example – Calculate Sales totals for the price column.

CumiSales = TOTALYTD(SUM(List_Items[Price]),Invoices[Date])


Returns everything. Ignores filters.

Example – Used with the calculate function above.

Power BI vs. Tableau

Here, are major differences between Power BI vs. Tableau:

Parameters Power BI Tableau

Year of establishment 2013 2003

Application Complete Dashboards for analysis Allow Ad Hoc Analysis

Use by Technical or Non Technical users Only use by Analysts

Support Very limited Full support

Scalability Good Excellent

Infrastructure SaaS Flexible

Who uses Power BI?

Here, are an important professional who uses Power BI tool:

PMO – Project and Portfolio Manager

Business & Data Analyst

Developer & Database Administrator

IT Team, IT Professional

Consumer for End User Report

Data Scientist

Advantages of Power BI

Offers pre-built dashboards and reports for SaaS Solutions

Provide real-time dashboard updates.

Secure and reliable connection to your data sources in the cloud or on-premises

Power BI offers quick deployment, hybrid configuration, and a secure environment.

Data exploration using natural language query.

Feature for dashboard visualization

New features frequently added that are great for excel users.

Extensive database connectivity capabilities Q&A feature publish to the web.

integration with both Python and R coding to use visualizations.

Power Query provides many options related to wrangling and clean the data.

Post publishing the data into Power BI web service can schedule refresh without manual intervention.

Power BI backed by the superpower of with artificial intelligence and machine learning.

Here, are Cons/drawbacks of using Power BI:

Dashboards and reports only shared with users having the same email domains.

Power Bl will not mix imported data, which is accessed from real-time connections.

Power Bi will not accept the file larger than 250MB and zip file which compressed by the data of X-velocity in-memory database.

Power BI can’t accept file size larger than 1 GB.

Dashboards never accept or pass user, account, or other entity parameters.

Very few data sources that permit real-time connections to Power BI reports and dashboard.


BI helps you to analyze data and to provide actionable information which helps corporate executives, business managers to make informed business decisions.

Power BI is a Business intelligence and Data Visualization tool which helps you to convert data from a various data source

Some important Power BI tools are 1) Power BI Desktop 2) Power BI service 3) Power BI Data Gateway 4) Power BI Report Server 5) Power BI Mobile Apps

Excel (.xlsx, xlxm), Comma Separated Value (.csv), Power BI Desktop (.pbi), Databases in the Cloud, Databases on-premises are important data sources used in Power BI.

Visualization, Datasets, Dashboard, Reports, Tile are important terms used in a Power BI.

Power BI was conceptualized by Ruler and Dhers Netz of the SQL server coverage services team at Microsoft.

1) Data Integration 2) Data Processing 3) Data Presentation are important components of Power BI architecture.

Power Query, Power Pivot, Power View, Power Map, Power BI Service, Power BI Q&A, Data Management Gateway, Data Catalog are important elements of Power BI Dashboard.

DAX is a formula expression language which is called (DAX) which can be used with various visualization tools like Power BI.

Power BI offers Complete Dashboards for analysis, while Tableau only allows Ad Hoc Analysis.

Important professional who uses Power BI is PMO – Project and Portfolio Manager, Business & Data Analyst, IT Team, IT Professional, etc.

The biggest drawback for Power Bi will not accept the file larger than 250MB and zip file which compressed by the data of X-velocity in-memory database.

Here’s A Quick Guide To The New Microsoft Office For Mobile

After Microsoft announced the Office app for mobile devices back in November 2023, it was available as a beta. For Android users, it was available for those who registered earlier and for iOS, 10,000 testers got their hands on the app who registered via Apple’s TestFlight program. However, after a long wait, the all-in-one Office app is finally publicly available for Android and iOS users. The Office app is an amalgamation of the Microsoft Word, PowerPoint and Excel. It brings an array of useful features for mobile users and I cannot wait to tell you guys all about it. So let’s dive in, shall we?

Here’s What You Can Do with the Microsoft Office Mobile Import Files from Cloud

When you open the app, you will find the “Home” page. In here you can find all the recent files that you have accessed, edited or created recently. Additionally, you can tap the “folder” icon at the top right corner to add files from various cloud-based platforms like OneDrive, Files and Google Drive. You can link other cloud platforms like Box or Dropbox to access the files that are saved there.

To do this:

Tap the “folder” icon at the top right corner.

Select “Add a Place” at the bottom.

Select the desired platform from the list.

to the service.

Now, you can add the files from your cloud drives to the Office home to access and edit them right in the app.

Take Notes

To take notes:

Tap the “+” button at the bottom of the Home screen.

From the small pop-up menu, select “Notes”.

Type your note in the text field.

Tap the “camera” button at the bottom left corner to add a picture to your notes.

This is a pretty nifty feature as it gives you a quick glance of your short notes right at the home screen. You don’t even have to open up the note file.

Convert Text in Images

First way:

From the menus at the bottom of the home screen, tap the “Actions” button.

This will open up a list of actions that you can execute.

Here, you can find the “convert text in images” category. Under this, you will find two options – a) Image to Text, b) Image to Table.

Second way:

At the bottom of the Home screen, tap the “+” button.

From the pop-up menu, select the “Lens”.

After the app finishes processing the image, find the “File Type” button at the bottom of the screen.

Tapping this button will cycle through three file type options: Image, Word or PDF.

If you set the file type as “Word”, the app will extract the text from the image and create a word document right away.

Transfer Files from Mobile to PC or Mac

By using the Microsoft Office app, you can easily transfer files and images from your mobile device to your desktop or laptop. This feature works by using the data connection just like Snapdrop. Unlike Snapdrop, the devices need not be connected to the same network.

To transfer files:

Tap the “Actions” button from the Home screen.

The first option you will see is “Transfer Files”.

Tapping this option will open up a screen that will ask whether you want to send files or receive files.

Choosing any option will open up the camera with a QR code scanner.

Now, on your desktop or laptop, open chúng tôi in a browser.

Point your mobile towards the screen to scan the QR code. Then pair your PC with the mobile by tapping the “Pair” button on both devices.

Now, you can transfer files and images from your phone to PC or vice-versa.

Apart from these features, there are a lot of other cool features like signing PDFs, converting images and documents to PDFs and creating documents using various templates. The app is available for free in the App Store and PlayStore. However, there are some features that require the Office 365 subscription. In my opinion, even if you do not have a subscription, it would not matter as most of the features are available for free.

Power Bi Challenges Round 17

In the 16th round of our Power BI Challenges, we looked into something that every organization needs — consultancy time and earnings analysis. This time, we’re going to look into something even deeper; something that affects the whole world.

In our 17th round, we’re going to look into real environmental data that experts around the world are also currently studying.

As we dive deep into this dataset, we’re hopefully contributing to the global push in finding better ways to solve global environmental issues.

We’ve always marveled at how dynamic Power BI can be as a tool, seeing that our Power BI challenges continue to cover various topics. This, we believe, cements that as a fact seeing that we’re going to deal with something that actually impacts the whole world.

Brian is standing in for Haroon, who’s been feeling a bit under the weather. As part of the challenge, participants should include four environmental indicators that will make the most impact on the specific region in focus.

The report that participants will be working on should be focused on three target audiences – regional data scientists, upper-level managers, and policy makers. These end users will have different goals, so it’s critical that each report addresses their unique needs.

Brian also added a few more things to consider to guide participants as they work on their reports.

Deadline for submission is on December 12.

It’s always been fun witnessing the friendly competition in the Enterprise DNA Forum because of the Power BI challenges. But more than that, it’s been inspiring seeing how participants improve from one challenge to the next. This is a strong testament to the fact that these challenges are an effective learning tool that can turn beginners into experts over time.

Winners get amazing prizes, adding even more value to the entire experience.

Winning members get a free membership that they can pass on to someone who they believe will greatly benefit from the resources and events that are offered exclusively to members. We will also choose 3 non-member winners who will be getting complimentary memberships for 1 year.

First-time participant winners take home the best prizes, giving even more reasons for those who are still thinking twice about participating to finally jump in and join the fun. They get to choose one item from this list:

A copy of the Definitive Guide to DAX, 2nd Edition (what we consider to be our “DAX bible”) or any book in the EDNA Forum Recommended List

A copy of SnagIt 2023, a must-have capture and graphics tool that a lot of our Enterprise DNA experts use

A four-month subscription to  chúng tôi , an online source for downloadable and editable icons that can make your Power BI reports stand out

These challenges also serve as a great way for your work to be featured in the Power BI Challenge Showcase.

How do we pick the winners? We focus on the 4 pillars of a great Power BI report:

Data loading and transformation

Data modeling

DAX calculations

Reports and visualizations

As long as you have these 4 areas covered, you’ll have a good chance of emerging as a winner.

Here’s how you can join the challenge.

Download the data set from the forum.

Post the screenshot of your report and explanation in LinkedIn along with the name of the challenge (e.g. Power BI Challenge 17 – Environmental Data Reporting)

Include this in your post: I accepted the #EnterpriseDNAPowerBIChallenge and hyperlink the challenge post from the Forum.

Submit your PBIX files to 

[email protected]

Start working on those reports now and we hope to see your name among the list of winners.

All the best,

Enterprise DNA Team

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