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Home > Blog > Power BI

Discovering Significance: What is Power BI Used For

Data is the new oil, they say. But what good is oil if you can’t refine it?

That’s where Power BI comes in.

What is Power BI used for?

What is Power BI Used for

With the help of this tool, you can turn raw data into valuable insights. You can finally make sense of all the numbers and charts that have been bothering you. Consequently, make wise decisions and gain a competitive edge.

Need proof?

Let me share the story of “What is Power BI used for” an online store in Arlington.

They were struggling to make sense of their sales data. Until they discovered the wonders of Power BI. It helped them increase their revenue by 25% in one year.

They are currently making wise business judgments faster than you can say “data visualization.” Consequently, boosts their sales and improves their marketing strategy.

In this blog you will learn:

Table of Contents:

  1. What is Power BI Used for?
  2. Strengths of Power BI
  3. Weaknesses of Power BI
  4. Graphical Representation in Power BI
  5. From Raw Data to Insights: 5 Key Stages in Power BI
  6. Wrap Up

What is Power BI, and how does it work?

Let’s find out.

What is Power BI Used for?

It lets you connect to multiple data sources and transform and clean the data. Then create interactive visualizations and reports.

Here are some key points to describe what is Power BI used for:

  • Data Visualization

One of the primary uses of Power BI is data visualization. It allows you to create interactive visualizations that help you understand complex data sets quickly. Also, you can customize the visualizations to suit your needs that resonate with your brand identity.

  • Data Analysis

Power BI offers robust data analysis capabilities, including data modeling, visualization, and exploration. You can connect to various data sources and clean and transform data. Then perform complex calculations to glean valuable insights that inform decision-making.

  • Business Intelligence Reporting

Power BI is a potent business intelligence reporting tool. You can create custom reports that offer insights into your operations. You can use these reports to track performance, monitor KPIs, and pinpoint improvement areas.

  • Real-time Data Analysis

Power BI facilitates data analysis in real-time. It lets you connect to streaming data sources and create real-time dashboards and reports. You can monitor key metrics and make informed decisions using these real-time data analysis features.

  • Data Integration

Power BI connects you to data sources like Excel spreadsheets, SQL databases, and cloud-based services. This empowers you to consolidate your data and create a unified view of your business operations.

Strengths of Using Power BI

Power BI possesses several strengths that clearly define “what is Power BI used for” its applications and contribute to its popularity among businesses:

  • Intuitive Interface

Power BI’s user-friendly interface makes importing data from various sources easy. Then create reports and dashboards and perform data analysis without coding or technical expertise.

  • Customizable Visualizations

Charts, graphs, and tables are among the many pre-built visualizations available in Power BI For Mac. You can customize these visuals to suit your requirements, allowing flexibility in elements like color, size, shape, and layout.

  • Cloud-Based Service

Power BI is a cloud-based service, which means you can access your data and reports from anywhere. You can also collaborate with team members and share reports with stakeholders easily.

  • Integration with Other Microsoft Products

Power BI integrates seamlessly with other Microsoft products, including Excel, SharePoint, and Dynamics 365. This integration facilitates data consolidation, making analysis a breeze.

When comparing Looker vs Power BI, the ease of integration with Microsoft’s suite of tools can be a significant advantage for organizations already embedded in the Microsoft ecosystem.

Weaknesses of Using Power BI

While Power BI has several strengths, it also has some weaknesses:

  • Steep Learning Curve

Power BI has a steep learning curve, particularly for users new to data analytics. Learning how to use the tool efficiently can take some time.

  • Limited Free Version

Power BI has a limited free version, which may not be suitable for businesses with complex data needs. This necessitates you to purchase a paid subscription to access all the features.

  • Data Security Concerns

Power BI stores your data in the cloud, which may raise data security concerns for some businesses. Ensuring your data is secure and protected from unauthorized access is essential.

  • Limited Customization Options

You can customize the appearance of the visualizations using Power BI Report Builder. However, you have less control over the layout and formatting of the reports.

Graphical Representation in Power BI

Power BI supports a wide range of visualizations that help you quickly understand your data. Here are some of the popular visualizations in Power BI:

  • Area Charts

An Area Chart plots points on a graph and connects them with straight or curved lines to form an area. The area between the line and the x-axis is filled with color or shading. Area charts are useful for showing changes in data over time and comparing multiple data sets. See the example of profit data mapped on an Area Chart below.

Area Chart in Power BI ce295
  • Doughnut Charts

A Doughnut Chart resembles a Pie Chart but differs in that it has a hole in the center. Doughnut Charts help illustrate how the parts and the whole relate. They present data in percentages.

Doughnut Charts in Power BI ce295
  • Treemaps

Treemaps represent hierarchical data in a rectangular form. Power BI offers Treemaps for displaying various levels of information in nested square shapes. A distinct color represents each level of the hierarchy.

Treemap in Power BI ce295
  • Sankey Diagram

A Sankey Diagram illustrates how information or resources flow between sources. It has a series of interconnected pathways symbolizing the flow. These diagrams show intricate systems or procedures, such as the movement of materials, energy, or money.

Sankey Diagrams in Power BI ce295

In the next section, we will teach how to create charts and dashboards in Power BI.

From Raw Data to Insights: 5 Key Stages in Power BI

We’ll divide the process into 5 distinct stages:

Stage 1: Logging in to Power BI

  • Log in to Power BI.
  • Enter your email address and click the “Submit” button.
Enter email to login to Power BI
  • You are redirected to your Microsoft account.
  • Enter your password and click “Sign in“.
Enter Password to login to Power BI
  • You can choose whether to stay signed in.
Click on stay signed in
  • Once done, the Power BI home screen will open.

Stage 2: Creating a Data Set and Selecting the Data Set to Use in Your Sankey Chart

  • ”¢ Go to the left-side menu and click the “Create” button.
  • Select “Paste or manually enter data“.
select Paste or manually enter data in Power BI
  • We’ll use the following cash flow data for this example.
Earnings Source Revenue Expenses & Profit Departments Categories Amount
Providing services Revenue Expenses Managerial Training Sessions 10,000
Providing services Revenue Expenses Managerial Office rental 16,000
Providing services Revenue Expenses Managerial Wages 9,400
Providing services Revenue Expenses Commercial Wages 11,300
Sales of products Revenue Expenses Commercial Travel allowance 10,000
Sales of products Revenue Expenses Commercial Advertising 12,000
Sales of products Revenue Expenses Production Material Payment 25,000
Sales of products Revenue Expenses Production Loan Payment 8,500
Sales of products Revenue Expenses Production Wages 19,500
Loans Revenue Gross Profit Taxes 11,000
Loans Revenue Gross Profit Net Profit 13,000
  • Paste the above data table in the Power Query Window.
  • Select the “Create a dataset only” option.
Create Dataset in Power BI 292
  • On the left-side menu, click “Data Hub“.
  • Power BI populates the data set list.
Click on Data Hub
  • Choose a data set for the Sankey chart.
  • PBI populates the screen as shown below:
Workspace in Power BI
  • Click on the “Create a report” dropdown.
  • Select “Start from scratch“.
Create Report and start from scratch
  • A Report Canvas screen appears as below:
Report Canvas screen in Power BI

Stage 3: Adding the Power BI Sankey Diagram Extension by ChartExpo

  • Creating the Sankey Diagram requires us to use an add-in or Power BI visual from AppSource.
  • Navigate to the right side of the Power BI dashboard.
  • Open the Power BI Visualizations panel.
  • Click the ellipsis symbol (…) as highlighted in the diagram below. This will import the Power BI Sankey Diagram extension by ChartExpo.
click on to get more visuals
  • The following menu opens:
  • Select the “Get more visuals” option.
get more visuals in Power BI
  • The following window opens.
  • Enter “Sankey Diagram for Power BI by ChartExpo” in the highlighted search box.
  • You should see the “Sankey Diagram for Power BI by ChartExpo”, as shown in the image below.
Sankey Diagram for Power BI by ChartExpo
  • Click the highlighted “Add” button.
Click the Add button
  • Power BI will add the “Sankey Diagram for Power BI by ChartExpo” in the visualization panel.
Click on Sankey Diagram Icon

Stage 4: Drawing a Sankey Diagram with ChartExpo’s Power BI extension

  • Select the “Sankey Diagram for Power BI by ChartExpo” icon in the visualization panel.
  • The following window opens in the report section of your dashboard:
Report Section in Dashboard
  • You can resize the visual as needed.
  • Navigate to the right side of your Power BI dashboard.
  • You should see “Fields” next to “Visualizations“.
Fields next to visualizations
  • You’ll select the fields to use in your Sankey chart here.
  • The ChartExpo visual needs to be selected, though. Select the field in the following sequence:
    1. Earning Source
    2. Revenue
    3. Expenses & Profit
    4. Departments
    5. Categories
    6. Amount
Select fields for Sankey diagram
  • You’ll be asked for a ChartExpo license key or email address.
enter email for ChartExpo license

Stage 5: Activate your ChartExpo Trial or Apply a Subscription Key

  • Select the ChartExpo visual.
  • You should see three icons below “Build Visual” in the Visualizations panel.
Build visual panel in Power BI
  • Select the middle icon, “Format visual“. The visual properties will be populated as shown below.
visual properties in Power BI
  • To begin using ChartExpo as a new user;
    • Enter your email address in the textbox under the “Trial Mode” section. ChartExpo will send the License key to this email upon subscribing to the add-in.
    • Ensure you provide an accurate and up-to-date email address.
    • Toggle “Enable Trial” to activate your 7-day trial.
enter email id
    • You should receive a welcome email from ChartExpo.
    • If you do not find the email in your inbox, kindly check your spam folder as well.
    • The Sankey Diagram you create under the 7-day trial contains the ChartExpo watermark.
  • If you have obtained a license key:
    • Enter your license key in the “ChartExpo License Key” textbox in the “License Settings” section (see below).
    • Slide the toggle switch next to “Enable License” to “On“.
enter license key
  • Your Sankey Diagram will then appear without a watermark.
  • Let’s add colors to each node. Expand the “Level Colors” properties and select the colors.
coloring Sankey diagram
  • All changes will be automatically saved.
colored Sankey data visualization in Power BI ce295
  • Let’s add the prefix (e.g., $ sign) with the numeric values in the chart.
  • Expand the “Stats” properties.
  • Add the prefix value (e.g., the $ sign).
add prefix in data visualization ce295
  • Your final chart will look like the one below.
Final Power BI Data Visualizations ce295

Insights

  • The company’s primary source of revenue is product sales, accounting for 50.48% of the total revenue.
  • The total revenue is $179K.
  • Of the total revenue, $146K (81.9%) were expenses, while the remaining $32.3K (18.1%) was the gross profit.
  • The expenses include managerial, commercial, and production expenses, which amount to $44.4K, $39.8K, and $62.2K, respectively.
  • The gross profit is divided into taxes and net profit, which are $16K and $16.3K, respectively.
  • The managerial node is divided into training sessions, wages, and office rental. These amounted to $13.2K, $14.4K, and $16.8K, respectively.

FAQs:

What is Microsoft Power BI?

Microsoft Power BI is a business analytics tool that helps businesses make data-driven decisions. It lets you connect to multiple data sources and transform and clean the data. Then create interactive visualizations and reports for gleaning insights.

How much does Power BI cost?

Power BI has free and several paid versions, depending on your needs. The paid versions start at $9.99 to $4,995 per user per month. On the flip side, the free version has limited features.

What should I use Power BI for?

You can use Power BI to connect to different data sources and transform and model the data. Then create charts and graphs, and build reports and dashboards. Also, Power BI allows you to create real-time dashboards and perform real-time analytics.

Wrap Up

In a nutshell, Power BI’s primary function is to help you analyze and interpret your business’s data. Data visualizations you produce with this tool help you make better decisions and boost productivity.

Without a doubt, Power BI is the best business intelligence and data visualization tool on the market. It lets you easily create and customize visualizations. Moreover, you can connect to data sources like Excel spreadsheets, databases, and cloud-based services. Consequently, create a unified view of your business operations.

Power BI has potent modeling and visualization capabilities allowing for efficient data analysis. You can quickly make sense of large data sets and gain a competitive advantage.

Are you still on the fence about what Power BI is used for?

Hopefully, this discussion has provided a better understanding of Power BI and its uses.

Go ahead and start using this tool and ChartExpo to your benefit.

How much did you enjoy this article?

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