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Power bi
Collaboration ways within Power BI

Power BI has become an essential tool for analyzing data and creating reports. The need for robust data analytics tools becomes more evident as the world becomes increasingly data-driven. Power BI is a leading business intelligence platform that helps organizations transform their data into actionable insights. One of the key features of Power BI is the ability to collaborate with a wide range of users, both inside and outside the organization. 

Table Of Content 

  1. Importance of collaboration ways within Power BI
  2. Collaboration ways
  3. Conclusion

Power BI is one of the hottest business intelligence tools around. It’s also one of the most versatile and powerful. However, why do you need collaboration in Power BI? This blog will explore just why collaboration can be good for Power BI users and how using it can help. It’s a good read if you’re going to be using Power BI in the future. With Power BI, you can create dashboards and reports, which are, in most cases, interactive, very dynamic, and easy to understand. However, Power BI also offers other ways to work together with the help of virtual teams. The blog looks at ways to work with Power BI and share reports, dashboards, and datasets.

Importance of collaboration ways within Power BI

Collaboration is an important aspect of Power BI, as it allows users to work together on projects and share data and insights. The Importance and benefits of collaboration within Power BI are many, including the ability to: 

-Share data and insights: By collaborating within Power BI, users can share data and insights, making it easier to work on projects together.

-Access data and insights from anywhere: Collaboration within Power BI allows users to access data and insights from anywhere.

-Work on projects together: By collaborating within Power BI, users can work on projects together, making it easier to get a large collaborative project done and achieve more significant organizational goals.

Collaboration ways

One of the essential features that are the core of the Power BI working is the ability to collaborate within the application. The pointers mentioned below will look at how you can use the different collaboration features within the Power BI application.

Collaborate in a workspace

Power BI offers many ways to collaborate with others on your data and analytics projects. One way to collaborate is to use workspaces. Workspaces provide a way for you to share data and analytics with others securely and work together on projects in real-time. For example, you can invite others to join your workspace, add and edit data sources, create and edit reports, and view and interact with your data. Collaborating in a workspace is a great way to work together on Power BI projects and can help you get your work done faster and more efficiently.

Collaborate in Microsoft Teams

Microsoft Teams is a collaboration platform that allows users to chat, share files, and work on projects together. In contrast, Power BI is a business intelligence tool that allows users to visualize and analyze data. One can integrate the two platforms to allow users to collaborate on Power BI projects within Microsoft Teams. This integration enables users to chat about their projects, share files and data, and work on their projects together in one place. This collaboration between Power BI and Microsoft Teams makes it easier for users to work together and complete their projects.

Share reports or dashboards


There are two primary ways to share reports and dashboards within Power BI: SharePoint and OneDrive. SharePoint is a cloud-based service that allows users to share and collaborate on documents and other files. OneDrive is a personal storage space that is part of each user’s Microsoft account. One can share reports and dashboards with others by saving them to SharePoint or OneDrive and then sending a link to the file.

Annotate and share from the Power BI mobile apps

One way to collaborate within Power BI is to annotate and share from the Power BI mobile apps. This is a great way to share your thoughts and ideas with others quickly and easily. Another way to collaborate is to use the Power BI web portal. This allows you to share your Power BI reports and dashboards with others so they can view, interact, and collaborate on them.

Distribute insights in an app

There are a few different ways to distribute insights in a Power BI app. The first is to share the app with others. This will give them access to all of the data and visualizations in the app. Another way to distribute insights is to embed specific visualizations from the app into a website or blog. This can be done using the “Publish to Web” feature in Power BI. Finally, one can distribute insights via email or social media by exporting them as images or PDFs.

The ability to share insights with a wide range of users is crucial for any organization that wants to make data-driven decisions. With Power BI, insights can be easily shared with stakeholders across the organization, regardless of their technical expertise. This makes it possible for everyone in the organization to access the same information and make decisions based on the same data.

Distributing insights is also crucial for organizations that want to collaborate with external partners. Power BI makes it easy to share insights with partners, customers, and external users. This allows project parity among all stakeholders to be calibrated easily to make data-driven decisions together and improve the project’s overall performance.

Embed reports in secure portals or public websites

Power BI can embed reports in secure portals or public websites. This allows for collaboration within an organization or with external partners. The report can be embedded in an iFrame or as a link. The advantage of this is that it does not require any special software or hardware to view the report. All that is needed is an internet connection.

Print or save as PDF or other static files

There are many benefits to printing or saving Power BI reports as PDF or other static files:

  1. It ensures that all team members work with the same report version.
  2. It makes it easy to distribute the report to stakeholders who may not have access to the Power BI service.
  3. Printing or saving it as a PDF preserves the report layout and formatting, ensuring the safety of the hard work for generating a particular visualization. It also makes it easy to read and understand.
  4. Printing or saving it as a PDF or other static file allows team members to annotate and comment on the report, which can be very helpful in the collaboration process.

Create and deploy template apps

There are many benefits to creating and deploying template apps within Power BI. A template app is a pre-determined set of rules that can be readily connected to databases to complete a reporting requirement quickly. Template apps allow users to collaborate on the design and development of Power BI apps and also provide a way to deploy apps to multiple users quickly and easily. As these template apps are preconfigured, they also allow for easy sharing of app configurations and data, which can help reduce the time and effort required to develop and deploy Power BI apps.

Share a dataset

Share a dataset

For several reasons, sharing a dataset is the best collaboration way within Power BI. By sharing datasets, users can access and use the same data, making it easier to work together on projects:

  1. It allows users to see each other’s data and work with it directly.
  2. It eliminates the need for users to duplicate data sets, which can lead to errors and inconsistencies.
  3. Sharing datasets makes tracking changes easy and seeing who is working on what.
  4. It allows users to work together on data analysis and visualization, making the process more efficient and effective.

Create dataflows

Dataflows provide a way to centralize your data so one can reuse it across different Power BI apps. This makes it easy to keep your data up-to-date and consistent and reduces the need for duplicate data entry. Creating dataflows also makes it possible to take advantage of Power BI’s data transformation capabilities. One can use this to clean and prepare your data, making it ready for analysis. Using dataflows can save you a lot of time and effort when working with Power BI apps. In addition, they can help to keep your data organized and consistent and make it easier to perform data analysis. 

There are many advantages to creating dataflows within Power BI. You can easily share dataflows with others and work together to create the best possible data visualizations. Additionally, dataflows allow you to connect easily to multiple data sources, saving you a lot of time and effort. Also, dataflows provide a way to transform and clean your data quickly, making your reports and visualizations much more accurate and effective. 


Power BI can be perceived as a tool used to create dashboards and reports, but one can use it to do so much more. It can enable collaboration at a scale that has never been possible before. This blog will explore how Power BI can give more users a voice. Now, you have more flexible ways of how Power BI can enable the growth of your business!

Power Bi
A glance into the concepts of Power BI

Microsoft Power BI is a cloud-based business analytics service that allows users to perform data analysis, data visualization, and report creation. Power BI is a self-service business intelligence tool that enables users to explore and visualize data, interact with the data and create dashboards. It is a powerful tool for extracting such effective data results. This blog is a glance into the concepts of Power BI and how we can use the tools it offers.

Table Of Contents

  1. Three major types of Power BI variants
  2. Concepts of Power BI 
  3. Elements of Power BI 

Three major types of Power BI variants:

Power BI is a business analytics tool that allows users to visualize data and gain insights into their business. The Power BI Desktop, the Power BI Service, and the Power BI Mobile app are the three major components of Power BI.

The Power BI Desktop is a Windows desktop application that provides a drag-and-drop interface for creating visualizations. The Power BI Service is a cloud-based service that allows users to share their visualizations with others. Finally, the Power BI Mobile is a mobile app that allows users to access visualizations on their mobile devices.

Concepts of Power BI 

Concepts of Power BI

This visualization tool is a boon for the present business world. Below are some of the essential concepts that can add value to the growth of big businesses. 


Power BI is a cloud-based business intelligence and analytics service that enables users to visualize and analyze data. Power BI is a suite of tools that allow users to connect to data sources, transform and model data, and create and share visualizations and reports. Power BI provides two versions: Pro and Premium. Pro is a version for individual users and small teams. Premium is a higher capacity version for organizations that need to scale their Power BI deployment.


Power BI workspaces are a great way to collaborate with others on data analysis and visualizations. By creating a workspace, you can invite others to view and interact with your Power BI content. You can also add content from the web, including social media and news sources, to your workspace.


Power BI dataflows provide a way to ingest, transform, and load data into the Power BI service. Dataflows can be used to ingest data from various sources, including files, databases, and web services. Once data is ingested, dataflows can be used to transform and cleanse data and load data into the Power BI service. Dataflows can be created and edited in the Power BI service and scheduled to run regularly.


Power BI is built on the Microsoft BI stack, which includes Excel, Power Query, Power Pivot, and Power View. Power BI is a cloud-based BI and analytics service that provides a single view of your most essential business data. 


Power BI reports are based on data models that define the data relationships within the data set. One can customize these reports to include filters, slicers, and other interactive elements. Reports can be published to the Power BI service, where they can be viewed and interacted with by other users. Users can also create custom dashboards to monitor specific data sets and KPIs.


Microsoft allows users to create interactive dashboards and reports. It integrates with various data sources, including Excel, SQL Server, and Azure. Power BI also offers its cloud service, which allows users to share their dashboards and reports with others.


You need to understand many different concepts to use Power BI effectively. One of the most important concepts is that of workbooks. Workbooks are files containing all the data and information you need to analyze and report on. They can be created in various formats, but the most common form is the Excel workbook.

When creating a workbook, you will first need to select the data you want to include. This data can come from various sources, including databases, spreadsheets, and text files. Once you have selected the data, you need to organize it into a format that Power BI can understand. This typically involves creating a series of worksheets, each containing a specific type of data.

Once you have created your workbook, you can use it to create reports and visualizations. One can create reports in various formats, including charts, tables, and maps. Likewise, one can create visualizations in multiple formats, including bar charts, pie charts, and line charts.

Workbooks are a critical concept in Power BI, and one can use them to create various reports and visualizations. However, if you want to use Power BI effectively, you must understand how workbooks work.

Elements of Power BI 

Elements of Power BI

Power BI is becoming the tool of choice for business, and it’s easy to see why. However, this service is more than just a way to create graphs; it is a business intelligence solution and one that is easy to use.

The pointers below will look at Power BI’s different elements and aspects. It will also advise how to use this tool to make sure your business can make better decisions.

Navigation bar 

The Navigation bar is one of the critical elements of Power BI. It allows users to quickly and easily navigate between different app areas. The Navigation bar consists of a series of tabs, each providing access to a different area of the app. The tabs are hierarchical, with the essential tabs appearing at the top of the bar. The Navigation bar also includes a search box, allowing users to search for specific items within the app.


A Power BI report has three primary elements: the canvas, the data model, and the visualizations. The canvas is the blank canvas on which the report is built. The data model is the set of data that is used to populate the report. Finally, visualizations are the graphical representations of the data used to convey information.

Frequent updates on Dashboards 

One of its key advantages is that it receives frequent updates, which means that users always have access to the latest features and improvements. This is especially important for dashboards, which are designed to give users an overview of their data. With Power BI, users can be confident that they always see the most up-to-date information.

Favorite Dashboards 

Many elements make up the Power BI experience, and one of the most important is the dashboard. A Power BI dashboard is a visual display of your most essential data, and it can be customized to show exactly the information you want to see. You can create as many dashboards as you like; each is tailored to a different audience or purpose.

Dashboards are an essential part of Power BI because they allow you to quickly and easily see the information that is most important to you. In addition, you can customize your dashboards to show the data you want to see and create as many dashboards as you need. As a result, dashboards are a great way to keep track of your most essential data and can be a valuable tool for communicating with your team or customers.

Location box 

The Location box is one of the most important elements of Power BI. It allows you to see the location of your data and where it is located in relation to other data. The Location box also allows you to see the data differently, such as by country or region.



Icons are a vital element of Power BI. They help users quickly and easily identify different data types, actions, and objects within the interface. Icons also play a role in making Power BI more visually appealing and engaging.

There are three main types of icons used in Power BI:

1.  Standard icons:

These are the most common type of icons used for general purpose actions and objects, such as opening files or deleting items.

2.  Action icons: 

These icons are used for specific actions that one can take within Power BI, such as refreshing data or creating a new report.

3.  Object icons:

These icons represent different types of data and objects within Power BI, such as tables, charts, and measures.

365 app launcher 

The 365 app launcher is a versatile tool that allows users to quickly access and launch their favorite apps from a single location. The launcher provides a variety of features and options that make it a powerful tool for managing apps on Office 365. Some of the critical elements of the launcher include the ability to:

– pin and unpin apps for quick access

– launch apps from the web or a mobile device

– see recently used apps and files

– access apps and files offline

– Search for apps and files

– create and manage app shortcuts

– customize the launcher with your logos and colors

Final words 

It is pretty standard that businesses need to do data analysis and reporting to increase their productivity. Unfortunately, most business intelligence tools are expensive, and small business is left with no optimum choices. But the good news is Power BI Provides a user-friendly solution for business intelligence. 

why use power bi
Why use Power BI, the working system and its components?

If you are a person who is interested in business intelligence, Power BI is an excellent tool for you. Power BI is a BI software on the cloud of Microsoft, which one can use to monitor and analyze business trends. It is a powerful tool and has a lot of features that are helping a lot of business users. 

Table of content:

  1. Uses of Power BI
  2. Working system of Power BI
  3. Power BI versions 
  4. Components of Power BI
  5. Power BI Dashboard vs. Power BI Report
  6. Power BI Dataflows vs. datasets 

With Power BI, there are a lot of businesses that are finding value in the world of analytics. This is excellent news for business owners, as they can now get helpful information about their business without heavily investing in a new system. Power BI is a great tool to use and improve existing analytics. It is, however, good to know some things you will need to consider before using it. This blog will look at why you should invest in Power BI, the working system, and its components in great detail.

Uses of Power BI

Power BI is a cloud-based business intelligence service that makes it easy to analyze and visualize data from various sources. Power BI is accessible on desktop, mobile, and the web. The Power BI service includes a growing number of components, including Power Query, Power Pivot, Power View, Power Map, and Power Q&A. Power BI is included in Office 365 and is also available as a stand-alone service.

Power BI is the rising star in the BI world. We all know that the BI tool market is already big enough, but Power BI, since its launch, has come to change the industry. Power BI can radically change the way you do your business. Many great companies are using Power BI, and when you compare it to other analytics tools, you’ll find that it has many more uses than just reporting. The section ahead will look at the different benefits of Power BI.

1. Faster access to data: 

Power BI is a cloud-based business intelligence and analytics service that provides a quicker way to access data and get insights. It helps organizations gain a better understanding faster and make better decisions quickly. Power BI provides an easy-to-use interface that further makes it easy to get started and explore data. It also offers a variety of features that make it more powerful and flexible than other BI tools. This results in much less time consumption for deriving effective analytical results.

2. App customization is a boon: 

The Power BI app allows users to customize their Power BI reports and dashboards to suit their needs better. One can do this by selecting the “Customize” option from the app’s menu. For example, users can change their reports’ layout, colors, and fonts. In addition, users can add or remove fields and even create new calculated fields. This level of customization ensures that users can create the exact reports they need, making Power BI an even more powerful tool. With Power BI, you can connect to many data sources, easily create stunning visualizations, and leverage powerful features like artificial intelligence (AI) and machine learning. Power BI also makes it easy to share your app with others and collaborate on projects.

3. Cortona addition: 

Cortana is the artificial intelligence unit designed by Microsoft for its proprietary Operating System Windows 10. One can use Cortona integration with power bi to create beautiful visualizations of your data. Microsoft has specifically designed this ability for an improved user experience. Power BI provides a rich set of data visualization tools, whereas Cortona is a 3D visualization tool that one can use to create interactive 3D visualizations. By integrating these two tools, you can create stunning visualizations of your data that can be used to gain insights into your business.

4. Increased effectiveness and efficiency: 

Power allows businesses to see their data in a new and insightful way. Using Power BI, companies can more effectively and efficiently make decisions, track progress, and understand their data. As a result, power BI is an essential tool for businesses of all sizes today.

5. Smooth functioning and transmission of information: 

Power BI can help organizations smooth out the information transmission process. Allowing users to integrate other applications to the Power Bi framework makes for seamless transmission of data and insights. It helps create highly customized reports and dashboards. Power BI can also help ensure that everyone in an organization sees the same data in the same way. This can help reduce confusion and help everyone make better decisions.

Working system of Power BI

Power BI.

Power BI is a great tool but can initially seem a little daunting. This is because many components make up the product, but here is a simple guide to the ones you need to know about, which contribute significantly to its working mechanism.

  1. Microsoft Power BI is a cloud-based business intelligence service connecting various data sources, including Excel, SQL Server, and Oracle databases. 
  2. Power BI also offers a variety of features for data preparation, such as data cleansing and transformation. 
  3. Once the data is prepared, one can use Power BI to create interactive visualizations and reports. One can embed these visualizations, and Power BI reports in websites and applications.

Power BI versions 

Microsoft Power BI, the analytics platform, enables users to visualize and analyze data, share insights, and collaborate with others. Power BI includes a suite of tools for creating and managing reports and Power BI dashboards and a set of data visualization and analysis features.

Power BI is built on the Microsoft Azure cloud platform and uses the Azure Active Directory for authentication and authorization. Power BI is available in two editions: Free and Pro. The Free edition has most of the Pro edition features but has data limits per user per month. The Pro edition is designed for larger organizations and includes unlimited data and additional features such as Power BI Premium and Power BI Embedded.

Components of Power BI

Components of Power BI

Power BI allows small and large businesses to understand the data from their CRM, ERP, or any other data source. Power BI is a range of tools that work together to provide the best possible experience. The product uses self-service analytics to allow a business to quickly create Power BI reports and Power BI dashboards with a few clicks. Because of the range of different tools in the product, several components need to be used to get the most out of the product.

1. Dashboard: 

A Power BI dashboard is a single page, often called a canvas, which displays multiple visualizations. You can add and remove visualizations and resize and move them around to create a custom Power BI dashboard that tells a story with your data. A Power BI dashboard is made up of several different types of visualizations. 

The most common type of visualization is a bar chart, which is used to compare different data points. Other types of Power BI visualizations include line charts, pie charts, and scatter plots. In addition, you can add text boxes and images to your Power BI dashboard to customize it further. For example, you could add a text box with a brief description of your data or a picture to help explain your data. Power BI Dashboards are a great way to visualize your data and tell a story with it. By adding and removing different types of Power BI visualizations and text and images, you can create a Power BI dashboard that is unique to your data set.

2. Datasets: 

A Power BI dataset is a collection of data. Power BI Datasets are the basis of your work in Power BI. They’re sets of data that you can pull from different sources and manipulate to form custom data sets. You can import data into Power BI from almost any source, including Excel spreadsheets, SQL Server databases, and Azure SQL databases. You can also upload data directly from your computer or create a new Power BI combined dataset with custom fields.

3. Tiles: 

Power BI tiles are the building blocks of your dashboard or report. Tiles are used in Power BI to display data visualizations and reports. You can also create your tiles or choose from various pre-existing ones. You can add tiles from existing Power BI visualizations or Power BI datasets to customize the information that appears on your Power BI dashboard. You can also add Power BI tiles that contain dashboards to create a hierarchy of Power BI dashboards within one view.

4. Visualizations: 

Power BI also allows you to create custom visualizations. Visualizations are interactive charts or graphs designed to help you quickly understand large amounts of data by displaying it visually instead of numerically (like tables). You can create your own Power BI visualizations or choose from various pre-existing ones. Custom Power BI visualizations are created using the R programming language, allowing you to create Power BI visualizations not available in the Power BI interface. Visualizations are the primary elements that make up the content in Power BI tiles and reports; these include tables, grids, bar charts, line graphs, pie charts, heat maps, treemaps, scatterplots with bubble sizes indicating values from fields in a table (such as sales figures), 3D surfaces (like contour plots), images (like logos) and more. 

5. Reports: 

Reports allow you to organize information efficiently by organizing Power BI datasets into groups called pages. Each page contains a group of related Power BI tiles arranged into columns and rows based on how they compare to one another in terms of metrics like sales revenue to the total number of customers served over time (for example). Reports are similar to dashboards but only display one Power BI visualization at a time. They help present information more formally than Power BI dashboards typically do. One can look at a dashboard as the kitchen and the reports as the prepared dish, with many such dishes being taken care of in the kitchen. A dashboard has several functions available for working on data, whereas the report is the end-product that comes out of the dashboard as a result of all the planning and actions on the data. It is the reports that are of concern to the decision-makers. Reports can be used as stand-alone documents or embedded into dashboards. Reports are collections of Power BI tiles that allow you to share your insights with others by creating an interactive report experience for them to view online or through mobile apps.

Before we move forward, it would help to understand the difference between a Power Bi Dashboard and Power Bi Report.


Power BI Dashboard vs. Power BI Report

Power BI Dashboard vs report

There are five key differences between Power BI Dashboards and Power BI Reports, differentiating their working mechanism. 

1. Power BI Dashboards are designed to give you a quick overview of your data, while reports provide more in-depth analysis.

2. Power BI Dashboards are interactive, allowing you to drill down into the data to see more details. Reports are static, meaning you can’t interact with them similarly.

3. Power BI Dashboards can display data from multiple sources, while reports are limited to a single data source.

4. Power BI Dashboards are typically more straightforward in design, while reports can be more complex.

5. Power BI Dashboards can be shared with other users, while reports can only be viewed by the person who created them.

The next thing to know about Power bi would be Dataflows and Data sets. Dataflow is the transformation component of Power bi, consisting of an assortment of tables, their interconnections, rules, etc., of how they will be worked upon. Dataset is an individual data collection unit, such as a table, connection information, and operative rules. Dataflow is the conceptual framework with boundaries, and the dataset is the unit entity of operation.

Power BI Dataflows vs. datasets 

There are several critical differences between Power BI Dataflows and power bi datasets. Some of them are discussed below:

1. Power BI Dataflows is designed to be a data transformation tool, whereas Power BI datasets are primarily used for data visualizations. 

2. Power BI Dataflows allow users to connect to multiple data sources, whereas Power BI datasets are limited to a single data source. 

3. Power BI Dataflows provide a more robust and flexible data transformation experience, whereas Power BI datasets are more limited in their transformation capabilities. 

4. Power BI Dataflows allow users to schedule data refreshes, whereas Power BI datasets do not.

5. Power BI Dataflows allow users to share data with other users; however, Power BI combined datasets do not.

Final words

Power BI is the world’s most advanced business analytics platform, offering self-service business intelligence for everyone. Power BI provides the most flexible and fastest way to get data, explore insights, and visualize them. It is made up of four significant components, which are Data, Connectivity, Tools, and Apps. Data is, without a doubt, an essential component of the Power BI, as it delivers the information. Power BI can connect to nearly all your data sources and analyze them.

Power BI Architecture
The Power BI Architecture. And 5 FAQs

Power BI is a Business Intelligence facility that can help companies gain a competitive advantage. Power BI tools are components of this online data visualization and analytics platform that allow companies to analyze data quickly, identify trends and make intelligent decisions accordingly. Power BI architecture is the structure that the entire Power Bi concept stands on, and defines the way it has been designed and created. Understanding the architecture, and knowing the tools and services it offers, helps users create interactive dashboards, reports, and visualizations. It was developed by Microsoft and is used by companies across the globe. It’s a perfect way out for businesses wanting to improve their decision-making processes by gaining insights into their operations and accessing more accurate data than they have been able to access previously. 

Table of Content:

  1. What is the Power Bi Architecture?
  2. What is a Power BI architecture diagram? 
  3. What are the components of Power BI architecture? 
  4. 5 FAQs

What is the Power BI architecture? 

Power BI architecture is the framework that defines the working boundaries and relationships of the various components of Power Bi and its various services and tools. It lets users create data analysis systems that help synthesize data and visualize it in a useful manner and make it actionable. Power BI is a cloud-based data analytics platform that combines the power of Microsoft’s machine learning, cloud computing, and business intelligence capabilities to provide users with powerful and actionable analytical capabilities and insights from the data. 

The architecture has several parts; the first part is the cloud-based Power Bi Service, which is the main engine where all the computations take place, in case one is using the open network. This is where the data is fed, the rules for operating on the data are fed and this is where the results are dispatched to the end-user, after data has been acted upon as per the fed rules. This is programmed to be so by the Power Bi Professional who directly connects to this service using the internet browser and database/s (on-premises/cloud-based) is/are connected using the Power Bi Gateway. The power bi Service has its own smaller architecture. The Power BI service architecture is a cloud-based collection of the Microsoft Power BI tools that allows content creators to create reports without needing technical knowledge or expensive software licenses. Power BI service architecture also provides powerful analytical capabilities like machine learning algorithms without requiring specialized programming skills to implement these features in other solutions like Tableau (which uses Python as its primary programming language). The Power BI service architecture runs on Microsoft’s cloud infrastructure and hosts all of your data to be accessed anywhere by users with access to the Power BI website or mobile app (available for iOS, Android, and Windows Phone 8/10). The Power BI service architecture also hosts dashboards created in Power BI Desktop to be viewed online. It is a complete solution in itself and can be accessed by anyone wanting to be part of a ‘fully online’ system. Its use is browser-based.

Unlike the browser-based online (cloud) version of things, the next part is the local part (on-premise) where the Power Bi Professional maintains the architecture on a computer. The interface that they use to access the entire framework is called the Power bi Report Server (using the Power Bi Desktop interface). The access to the Power Bi Report Server, which is a scaled-down version of the main Power Bi Service, provides the facilities for the programmer to do their job of using the Power Bi system effectively locally. In this case, the server is on-premise and not in the cloud. This is a closed system which need not be connected to the internet for public consumption but can certainly be connected for closed user access via the internet/intranet, and is mostly intended to provide service to a clearly defined boundary of audience. The designer decides what data is to be used, how it is to be acted upon, and what will be the output. The creation of the desired reporting structure and the various resultant visuals that will be presented to the end-user are planned, decided upon and rules set by the professional inside the confines of the shell that a closed system such as this Report Server represents. This is called using the Power-Bi architecture off-cloud in a way.

The third part is the data storage place: data can be stored on-premises and connected with the online system (Power Bi Service, the main engine). It can also be stored in the cloud and connected to the Power Bi system. The Power Bi Gateway comes into play here as it facilitates the interfacing of the databases with the main service. The Gateway is not required to be used in case one is using on-premises architecture. In such a case, it is simpler and less cumbersome to connect the database with the processing engine (the server) as both are part of a closed group.

What is a Power BI architecture diagram? 

  It is the pictorial representation of the Power Bi Architecture. The overall schematic of the architecture is depicted in the diagram below. It shows the relationship of the various parts of the entire concept, and how they are interrelated. It tells about the physical location boundaries (where each part is or can be located), how these parts talk to each other, what their action boundaries are, how they respond and what they respond with. The three parts explained above are depicted here with their various dataflows and directions of dataflow. 



The power of Power BI architecture is its ability to integrate with other systems such as Salesforce and Microsoft Office 365. In addition, the Microsoft Power BI tools allow users to pull in data from multiple sources into a single dashboard, where they can get insights into their business at any given moment. As a result, companies can make improved decisions about their plans for marketing, sales, hiring, accounting, costs, and profits. They can also address customer care problems with correct, relevant, critical, and intelligent information at their fingertips. 

What are the components of Power BI architecture?

With Power BI tools being the lifeline of the present business world, it becomes essential to study which components (also sometimes called power bi tools) together result in the successful building of this model through the Microsoft Power BI architecture. Given below are the components of Power BI architecture: 

Data sources 

Data sources are the origin of your data in the Power BI architecture diagram. The first step in creating a Power BI report is to connect it to some data source. This can be a database, an Excel spreadsheet, or something else. These can be structured and unstructured datasets stored in a variety of formats. You can use Power Query to connect to different data sources, including Excel files, SQL databases, Azure Blob storage, etc. 

Power BI Desktop 

Power BI Desktop, Power BI Visualization tools

Power BI Desktop is a Power BI tool that you’ll use to create reports, visualizations through Power BI Visualization tools, and dashboards from your data once data is imported into Power BI. It is part of the on-premise architecture. It is a part of the Power Bi Report Server (discussed next). It is an application that enables you to create reports and analysis tools based on your data sources. It allows you to connect with multiple data sources and create custom queries. You can generate reports and visualizations based on those queries as well. It’s similar to Excel in that it has a spreadsheet-like interface where you can drag and drop elements onto a canvas and format them using tools like colors and fonts. 

Power BI report server 

The next part of the on-premise Power BI architecture is called the report server—this is where your content lives once it’s been published online. You’ll see your work here after creating reports from scratch. This component allows you to create reports that can be shared with other users in your organization without worrying about security or confidentiality concerns. It keeps all of these sensitive details away from prying eyes. 

Power BI gateway architecture 

The Power BI gateway architecture is a construct that runs in the Azure cloud and provides an interface between your organization’s data sources and the Power BI service. It can connect to a broad spectrum of data sources, including SQL Server databases, Excel workbooks, and Hadoop clusters. Power BI gateway architecture also provides security for your Power BI environment by encrypting all traffic between it and your data sources. 

Power BI Mobile 

Power BI Mobile

This is a mobile facility for viewing and interacting with dashboards. It’s available as an app for Android and iOS devices or as a browser-based app that can run from any device with a browser. You can also embed reports from the app into your website or other applications. 

Power BI Embedded 

This lets you embed Power BI dashboards in your applications or websites using HTML5, JavaScript, or React Native code snippets. It works on Windows 10 and Windows 10 Mobile devices and iOS devices running iOS 10 or later versions of iOS operating systems. In addition, it gives a more interactive experience for its users. 

Frequently Asked Questions 

1. What is Power BI architecture? 

Power BI architecture is a system developed by Microsoft to help in data analysis, management, and its visualization for easy interpretation. It includes Power BI tools, which are the applications that make it possible for you to create reports, dashboards, and visualizations. 

2. How do you add a diagram in Power BI? 

There are two ways to add a diagram in Power BI with the help of Power BI visualization tools

1. The foremost manner is to use the Report Canvas. 

2. The second way is to drag fields from the right side to the visualization pane. 

3. What are the three elements of Power BI designed? 

Power BI tools have three main elements: Power BI Desktop, Power BI Service, and the Power BI Mobile app. 

Power BI Desktop is a desktop application that you can use to build visualizations from your data. You can also publish these visualizations to a Power BI Service account, where they will be available for anyone with access to the account to view and interact with. The service also allows you to share reports with other organizations or individuals outside of your account and create dashboards with multiple visualizations based on different datasets. 

Power BI Service stores all data connections, reports, dashboards, and datasets. Reports are stored in tiles and dashboards as pages that can be easily shared or embedded into other websites via embed codes or APIs. Data connections are made through Data Catalogs, where you can import from on-premises servers or public cloud services like Azure SQL Database and Azure SQL Data Warehouse.

Power BI Mobile App for iOS and Android devices allows you to view dashboards from any location with an internet connection. 

4. Is Power BI frontend or backend? 

Microsoft Power BI tool can be used as a frontend and backend application. One may visualize data in various formats, including charts, tables, maps, sparklines, or custom objects. This means using it as a frontend. Using Power BI as a backend application means using it as a database for storing and managing information relevant to organizational processes. 

5. Is Power BI a tool or software? 

Power BI is a cloud-based software that requires you to log in to your account and use it online. Facilities in the Power bi framework, known as Power BI tools, are tools that are categorized in the ‘data visualization tools’ category. This means you can visualize your data in different ways and display it more appealingly.

Power Bi Tools
Important Power Bi Tools of its Architecture. And 6 FAQs

Microsoft Power BI tools are a set of facilities inside the Power Bi architecture framework that help implement the entire paradigm of data and its analysis effectively. Power BI tools allow users to create interactive dashboards and reports to clearly and easily understand their data. In this article, we will inform you in detail about the various Power bi tools. We will also talk about the Cortana feature of Windows and how Power bi tools can integrate with Cortana to give a tremendous uplift to the user experience.

Table of content:

  1. What are Power BI tools? 
  2. The working mechanism of Microsoft Power BI tools
  3. What are Power BI external tools? 
  4. Types of external tools in Power BI 
  5. How to enable external tools in Power BI? 
  6. How does a Power BI tool fit in the Cortana Intelligence architecture? 
  7. What is Cortana?
  8. Integration of Power BI and Cortana

What are Power BI tools? 

Power BI tools are currently used by over 70% of the Fortune 500 companies, including Amazon, AT&T, Coca-Cola, Ford Motor Company, and Unilever. These companies have also incorporated Power BI tools into their internal processes to make better business decisions based on real-time information. They are listed as below:

  1. Power Query is the facility for importing data from existing sources and transforming/refining the data into a format appropriate for analysis.
  2. Power Pivot is the technique for analyzing the data that has been imported and creating the desired data model. 
  3. Power View is the facility for implementing the visualization actions and interacting with the Power Pivot model.
  4. Power Desktop is the cocoon in which the above 3 are found and worked on.
  5. Power Map is the facility of importing information from the database onto Bing Maps for the accurate location of an address.
  6. Power QnA is the verbal assistant that can be programmed into a Power Bi project for providing results by listening to voice commands.

Some of the features of Power BI tools include: 

Easy to use dashboards and reports:

With the Microsoft Power BI tool, you can create reports and dashboards that allow you to analyze your data with just a few clicks. You can also share those reports or collaborate with others to work on them together. 

A wide range of data sources:

You can connect to many different databases or other systems using Power BI Desktop or Microsoft Excel through the Power Query feature. It enables you to import all kinds of information into one place for easy use of the powerful Power BI architecture

Real-time updates:

With real-time updates from various sources such as social media feeds or web services like Twitter feeds, you can see what’s happening now. It is all thanks to the ease of use of the Microsoft Power BI tools.

The working mechanism of Microsoft Power BI tools

Microsoft Power BI tools.

After analyzing the various components of the Power BI tool, given below is the working mechanism that details the functioning of the tools. It allows you to connect to a wide range of data sources, giving you the ability to access the data you need from wherever it is located. Furthermore, you can easily connect to any data source with the ‘get data’ feature, making it quick and easy to get the data you need to power your BI reports and dashboards. 


Users can install Power BI on their local machine and use it. This option is best for enterprise-level businesses with dedicated IT teams, as it requires more maintenance than the cloud option. On-premise Power BI uses SQL Server Analysis Services (SSAS) as its data warehouse, and users must have access to the SSAS server to use it. Microsoft licenses Power BI, and users can download the software from Microsoft’s website. 

On – cloud 

Users can opt for the cloud-based version of Power BI, hosted by Microsoft Azure. This option may require less maintenance than an on-premise installation but requires more technical knowledge of cloud computing systems than an on-premise installation does. Power BI uses Azure SQL Database as its data warehouse on the cloud. All users must have access to an Azure account to use this version of Power BI. Users can also purchase an enterprise license for Power BI if they wish for access and support from Microsoft or other third-party vendors. 

What are Power BI external tools? 

External tools are external software or services that Power BI uses to help you create and manage your data models. In addition, they enable you to elevate the functionality of your reports and dashboards by integrating with other applications. Thus, Power BI external tools are add-ons that extend Power BI’s functionality. 

Types of external tools in Power BI 

Power BI includes a collection of Power BI external tools that you can use to connect with other applications and services. One can use them to enhance their data analysis. You can use this feature to create customized visualizations that aren’t available in Power BI but might be helpful for your business needs

Semantic modeling 

Semantic modeling tools help you create a semantic model or a data structure containing information about the relationships between your data. You can use this to create reports that are easier to read and understand or create more complex analyses in Power BI. Semantic modeling tools allow you to create and manage your data structure, like a database schema or a taxonomy. 

Data analysis tools

data analysis

Data analysis tools include predictive analytic models and time series analysis. These can be used for data analysis, such as querying and visualizing data in Excel or another application, creating a custom report, or using Power Query to import data from multiple sources into Power BI. These tools can help you visualize your data in different ways than what’s possible within Power BI itself. 

Miscellaneous tools 

Miscellaneous tools provide other helpful functions, like connecting a social media account or creating a pivot table without loading data into Power BI. But, these tools don’t fit into any other category, such as Power BI mapping tools and APIs for connecting to your data source. It includes embedding content from other applications or creating a custom model using R scripts or SQL queries. 

Custom tools 

Custom Power BI tools allow you to create custom visualizations, reports, dashboard tiles, apps, and more that you can share with others or use yourself! In addition, these custom elements will enable you to further define your data by adding new fields and filters, which could help work with large datasets. 

How to enable external tools in Power BI? 

One of the key features of Power BI tools is its ability to integrate with external data sources and tools easily. The Power BI platform provides a set of well-defined APIs that enable developers to connect Power BI to external data sources and tools easily. Additionally, Power BI provides a set of built-in connectors that enable users to connect to various popular data sources and tools. The Power BI platform’s external data integration capabilities allow users to easily connect to and analyze multiple sources. This makes Power BI an ideal platform for building data-driven applications and solutions through Power BI external tools

To enable Power BI external tools, click Tools > Options > External Tools and click the Enable External Tools checkbox. You can also opt to utilize your system’s default browser or a specific browser as your default web browser. 

When you enable Power BI external tools, they’re available in all published reports and dashboards. So, for example, if you create a report that uses an Excel workbook as an external data source and then publish it to the Power BI service, other users will use the same Excel workbook when they open that report. 

If you wish to utilize distinguished versions of a Power BI external tool with different reports or dashboards, you must publish each version separately. 

How does a Power BI tool fit in the Cortana Intelligence architecture? 

The scheduled collaboration allows Cortana to provide tailored recommendations based on what you’re doing in Power BI. For example, suppose you open up a report about sales performance for the last quarter. In that case, Cortana might recommend related reports about revenue projections or customer satisfaction surveys to make better decisions about how your company should proceed forward into the future. We’ll look at how the Cortana Intelligence Suite integrates with Power BI in the paragraphs ahead. This popular business intelligence platform allows users to explore and analyze data from a variety of sources: 

What is Cortana? 

Cortana is Microsoft’s intelligent personal assistant. Cortana is powered by machine learning, enabling it to get to know you and your interests over time to provide helpful information and services. The Cortana Intelligence Suite is Microsoft’s framework for building AI-powered solutions for business. One can access Cortana by saying “Hey Cortana” or clicking the microphone icon on the taskbar. Cortana can also be used in apps and websites as part of Microsoft Edge and other products. It is a voice-activated intelligent personal assistant that can help you stay productive by providing information and reminders and completing tasks for you. Cortana is available on Windows 10 computers (including IoT devices), iOS and Android mobile devices, Xbox One, and the Harman Kardon Invoke smart speaker. It’s designed to help you get things done using your voice and machine learning to learn more about how you interact with your device. It can also connect to other services, like Bing search, Office 365, and Power BI. 

Integration of Power BI and Cortana 

Power BI tools and cortana

Power BI tool was designed from the ground up to be a cloud-based platform that allows users to share their data across multiple applications and devices. This makes it easy for people who work in different locations or on different devices (such as tablets) to collaborate on projects without relying on email or other tools designed for collaboration. 

Therefore, one way to use Cortana Intelligence Suite is to integrate Power BI tools. This integration allows users to create custom models using Power BI Desktop and then publish them as web services consumed by Cortana Analytics. With this integration, you can use the same data sources in both systems, making sharing insights between teams and departments easier. 

The integration of the Power BI tool with Cortana provides users with an intuitive, intelligent way to explore and analyze data. Users can ask Cortana questions in natural languages, such as “What were my sales yesterday?” or “How many customers are there?” The system will respond by providing relevant information. The system learns from each user’s interactions, making it more accurate over time. In addition, you can use Cortana Intelligence Suite to build custom models that predict and analyze data from various sources, including those you get from third-party data providers. 

Final words 

Power BI tools also make it easy for companies to look at multiple metrics at once because you don’t have to worry about having numerous dashboards or ensuring all the data is stored in a single place. Instead, you can create new reports as needed without worrying whether or not other people will be able to understand what they’re seeing when they look at your dashboard. Another reason why companies are starting to use Power BI is that it has become easier than ever before. 

Frequently Asked Questions 

1. What are the components of the Power BI tool? 

Power BI is a suite of business intelligence tools designed to help individuals and companies interpret and analyze data. The product is composed of six main elements as listed below:

  • Power Query 
  • Power Pivot 
  • Power View 
  • Power Desktop 
  • Power Map 
  • Powe QnA 

2. What programming language are Power BI tools written in? 

Microsoft Power BI tool is a business intelligence tool that allows users to visualize and analyze data. It is written in DAX and M. 

3. What are the five building blocks of Microsoft Power BI tools? 

The five building blocks of Microsoft power Bi tools are:

  1. Dashboards
  2. Datasets
  3. Visualisations
  4. Reports
  5. Tiles

4. What is the backend for the Microsoft Power BI tool? 

Microsoft Power BI tool is processed by the backend server in Microsoft Azure Cloud Services for high-security compliance and performance. Additionally, power BI connects to many tools to collect data, including Excel spreadsheets, Google Spreadsheets,, Facebook, Twitter, LinkedIn, etc. 

5. How do you structure data in the Microsoft Power BI tool? 

In Power BI, one can structure data in a flat table. Microsoft Power BI is a powerful tool for analyzing and visualizing data. When you’re creating a flat table in Power BI, you can structure your data in several ways. You can add additional columns to your table, or you can create multiple tables that are connected by common key values. 

One common way to structure data in a flat table in Power BI is to add columns with additional metadata about each row. For example, if you have customer information stored as a single column of text, you might want to separate the names and addresses of each customer into separate columns. This allows you to perform queries on specific information within your dataset without having to parse through all of the rows. 

Another way to structure data in a flat table in Power BI is by creating multiple tables that share common keys or values. For example, if you have sales data stored as a single column of numbers representing sales made by each employee during the month, it might be useful for analysis purposes if each employee’s sales were separated out into their own table so that they could be compared against one another or grouped together by region or product type. 

6. Is Power BI a free tool? 

Power BI tools are free to the extent that you can use them to analyze data from multiple sources, including Excel and databases. You can also share the reports acquired with other people and collaborate on dashboards. Microsoft Power BI tool is a business intelligence tool available in the cloud and for download. Though, Microsoft Power BI is also available as a paid premium tool with other top-notch features.