What is Power BI Designer?

If you're diving into Microsoft's business intelligence suite, you’ve likely come across the term “Power BI Designer.” While that name might be a bit of a throwback, the tool it refers to, now called Power BI Desktop, remains the cornerstone of creating compelling data reports. This article will walk you through exactly what Power BI Desktop is, its core components, and how you can use it to turn scattered data into a clear, interactive visual story.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

What is Power BI Desktop (Formerly Power BI Designer)?

Back in its early days, the tool we now know as Power BI Desktop was called Power BI Designer. While the name has been updated, its purpose remains the same: Power BI Desktop is the free, standalone application you install on your Windows computer to build comprehensive reports. It's the primary authoring and development environment where you connect to data, clean and transform it, build a data model, and design the interactive visualizations that your team will use.

Think of it as the workshop where all the heavy lifting happens. You gather your raw materials (data from various sources), shape and refine them (data transformation), assemble them into a cohesive structure (data modeling), and then craft the final, polished product (the visual report). Once you're done, you publish your creation to the Power BI Service for others to view and interact with.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

The Core Components of Power BI Desktop

Power BI Desktop is built around three main views, each handling a distinct stage of the report-building process. Understanding how they work together is fundamental to mastering the tool.

1. Power Query Editor: Where You Connect & Clean Data

Your journey always starts with data, and the Power Query Editor is your gateway. This is the data transformation engine within Power BI Desktop, allowing you to connect to hundreds of different data sources - everything from a simple Excel file or a web page to complex SQL databases, Salesforce, and Google Analytics.

But connecting is just the first step. Raw data is often messy. The Power Query Editor provides an intuitive interface to clean and shape it before it ever enters your report. Here’s what you can do:

• Clean Data: Remove unnecessary columns or rows, handle errors, fix formatting inconsistencies, and replace values.
• Transform Data: Change data types (e.g., converting text into a number or date), split columns, or pivot data to restructure it for better analysis.
• Combine Data: Merge multiple data sources together. For example, you can append sales data from two different spreadsheets into one master table or merge customer details from your CRM with sales transactions.

Every transformation you make is recorded as an "Applied Step" on the side panel. This creates a repeatable, transparent process - if your source data updates, Power BI just reapplies the same steps to clean the new data automatically.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

2. Data Model View: Where You Build Relationships

Once you’ve imported and cleaned your data tables, the next step is to teach them how to talk to each other. This happens in the Data Model view (also called the Relationship view). If you have a Sales table with customer IDs and a separate Customers table with customer details, you need to connect them. In the Data Model view, you can simply drag the 'CustomerID' field from one table to the other to create a relationship.

Why is this so important? Creating a proper data model enables you to analyze data across multiple tables seamlessly. For instance, with a relationship in place, you can build a chart that shows a salesperson's name (from a Sales Rep table) right next to the total revenue they generated (from a Sales table). Without a model, Power BI wouldn't understand how those two pieces of information are connected.

This is also where more advanced analysis begins. In this view, you can use DAX (Data Analysis Expressions) - Power BI’s formula language similar to Excel formulas but much more powerful - to create calculated columns and measures. For example, you could write a simple DAX measure to calculate total revenue:

Total Revenue = SUM(Sales[Revenue])

This creates a reusable calculation that you can drop into any visualization in your report.

3. Report View: Where You Visualize Your Data

This is where your data comes to life. The Report View is a drag-and-drop canvas where you design the layout of your report. On the right side of the screen, you'll have a few key panes:

• Fields Pane: This lists all of your available data tables and fields. You simply drag fields from this pane onto your report canvas.
• Visualizations Pane: This is where you choose the type of chart or graph you want to use. Power BI offers dozens of native visuals (bar charts, line charts, maps, pie charts, etc.) and gives you access to a marketplace of custom visuals for more specific needs.
• Filters Pane: Here, you can add filters to your entire report, a specific page, or even just a single visual to help users narrow down the data.

Building a report is a creative process. You might drag 'Total Revenue' and 'Product Category' onto the canvas, which Power BI automatically displays as a bar chart. You can then change it to a pie chart with a single click, add a "slicer" that lets users filter by year, and organize your visuals into a clean, easy-to-read layout.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

The End-to-End Workflow: From Designer to Report

Let's tie it all together with a common workflow demonstrating how the different parts of Power BI Desktop work in tandem.

1. Connect to Data Sources: You start by clicking "Get Data." You connect to your company's SQL database to pull sales transactions and also connect to an Excel file from the marketing department that lists campaign information.
2. Transform in Power Query: In the Power Query Editor, you notice the sales data has some test entries. You filter them out. The marketing file has inconsistent date formats, so you standardize them. Finally, you merge the two data sources using a common key, like a campaign ID.
3. Model the Data: In the Data Model view, you confirm Power BI detected the relationships correctly between your sales, product, and customer tables. You then write a few DAX measures, such as 'Total Sales,' 'Average Order Value,' and 'Year-Over-Year Sales Growth.'
4. Build the Report: Moving to the Report View, you create several pages. The first page is an executive summary with key performance indicators (KPIs) showing your core measures. A second page offers a deep dive into product performance with charts filtering by category and region. A third page analyzes marketing campaign effectiveness, showing return on ad spend.
5. Publish to Power BI Service: Once your report is complete, you click the "Publish" button. This uploads your report and the underlying dataset to the Power BI Service (your organization's online Power BI portal). From there, you can share it with collaborators, embed it in other applications, and set up automatic data refreshes to keep it current.

Power BI Desktop vs. Power BI Service: What's the Difference?

This is a frequent point of confusion for newcomers. Here's a simple breakdown:

• Power BI Desktop (The Designer) is for BUILDING. It's the desktop application where you perform deep data transformation, create complex data models, and do the initial design of your reports. You need a Windows machine to use it.
• Power BI Service (The Cloud Platform) is for SHARING and CONSUMING. It's the browser-based platform (app.powerbi.com) where you view, share, and collaborate on the reports you've built. This is also where you create dashboards - single-page summaries that feature pinned visuals from different reports. While the Service allows for some light report editing, the heavy-duty development work is reserved for Desktop.

They are designed to work together. Your standard workflow will always be: Build in Desktop → Publish to Service → Share from Service.

Final Thoughts

Power BI Desktop, the tool that started as Power BI Designer, is the powerful and surprisingly accessible engine for creating modern business intelligence reports. By combining data connection, transformation, modeling, and visualization into one free application, it gives analysts and business users alike the ability to uncover and share data-driven insights.

Mastering tools like Power BI requires a commitment, but the payoff can be huge. Of course, not everyone has the time to become a data specialist. That’s where new approaches come in handy. At Graphed , we’ve focused on simplifying this entire process. Instead of having you learn data modeling, DAX, or complex report design, we enable you to get answers from all your marketing and sales data using simple, natural language. We connect directly to sources like Google Analytics, Shopify, and Salesforce and let you create real-time dashboards just by asking questions. It transforms the often tedious process of manual reporting into a quick, intuitive conversation.