What Are the Components of Power BI?

Thinking about using Power BI feels a bit like deciding to build your own furniture. You know the end result will be impressive, but the box of tools and parts looks intimidating at first glance. We’re going to open that box together, look at each component one by one, and explain what it does in plain language. By the end, you’ll understand how all the pieces of Power BI fit together to turn raw data into clear business insights.

Graphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Build Your First Agent

Power BI Desktop: The Creator's Workshop

Power BI Desktop is the heart of the creation process. It’s a free application you download and install on your Windows computer, and it’s where you’ll spend most of your time building reports. Think of it as your workshop or studio, fully equipped with everything you need to connect to data, clean it up, model it, and design visuals. Power BI Desktop itself is made up of three core internal components.

1. Power Query: The Data Janitor

Before you can build beautiful charts, your data needs to be clean, organized, and in the right shape. That's the job of Power Query. It’s a powerful data transformation tool that lives inside Power BI Desktop (and also Excel). Its sole purpose is to get your data ready for analysis.

You use Power Query to:

• Connect to Data: It can connect to hundreds of different data sources, from a simple Excel spreadsheet on your computer to a complex Salesforce database in the cloud.
• Transform and Clean Data: This is where Power Query shines. Did your CSV export have blank rows, spelling mistakes in categories, or dates formatted as text? You can fix all of that here. You can remove columns you don’t need, split a “Full Name” column into “First Name” and “Last Name,” merge multiple files together, and even unpivot data to get it into the right structure.
• Automate Your Steps: The best part is that every cleaning and transformation step you perform is recorded. Every time you refresh your data, Power Query automatically repeats those same steps, saving you from a tedious manual process every week or month.

For example, imagine you get a monthly sales export where the date is in a "MM-DD-YYYY" format, but for your analysis, you need a separate column for the month. In Power Query, you could add a column and extract the month name from the date, a step that would then be applied automatically to all future sales exports you connect.

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Download the PDF

2. Power Pivot: The Data Architect

Once your data is clean, Power Pivot takes over. This component is the modeling engine where you define the relationships between your data and add calculations. If Power Query is about preparing the raw materials, Power Pivot is about building the framework.

Here’s what happens in the data modeling stage:

• Creating Relationships: Let's say you have one table with your sales transactions and another table with customer information. In the Power Pivot engine, you can create a relationship between them using a common field, like CustomerID. This teaches Power BI how your customer data relates to your sales data, allowing you to slice sales figures by customer location or demographic.
• Adding Calculations with DAX: Data Analysis Expressions (DAX) is the formula language used in Power BI. It’s similar to Excel formulas but much more powerful. You use DAX to create new metrics that don’t exist in your original data. Simple examples include calculating total revenue or counting the number of customers. More complex DAX formulas can calculate year-over-year growth, moving averages, or customer lifetime value.

For instance, your sales data has Quantity and Price Per Unit, but not a Total Sale Value. You could create a new calculated column in your data model using a DAX formula like this:

Total Sale Value = Sales[Quantity] * Sales[Price Per Unit]

This simple calculation creates a new piece of information you can now use in your visualizations.

3. Power View: The Visual Designer

After your data is cleaned and modeled, it’s time for the fun part: visualization. This is where you actually build the charts, graphs, maps, and tables that make up your report. Power View is the drag-and-drop interface within Power BI Desktop for designing these interactive visuals.

With a massive library of visualization options, you can create everything from simple bar charts and line graphs to complex funnel charts and geographical maps. The idea is to choose the best visual for the story you want to tell. You might use a bar chart to compare sales across different product categories, a line chart to show traffic trends over time, and a table to display detailed numerical data.

The best part about Power BI reports is their interactivity. Clicking on a bar in one chart can automatically filter all the other charts on the page to reflect that selection, allowing you and your team to explore the data and find insights dynamically.

Graphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Build Your First Agent

Power BI Service: The Collaboration Hub

While Power BI Desktop is for creating reports, the Power BI Service is where you share and use them. It's a cloud-based platform (often referred to as Power BI Online) that you access through your web browser. Once you’ve built a report in Desktop, you publish it to the Service to make it available to your colleagues.

Key Features of the Power BI Service:

• Dashboards: In the Power BI Service, you can create dashboards. A Power BI dashboard is a single-page canvas where you can "pin" key visuals from multiple different reports to get a high-level overview of your most important metrics. Think of it as the executive summary of your data.
• Workspaces: Workspaces are shared folders for you and your team to collaborate on reports and dashboards. You can control who has access to view or edit the content within a workspace, making it a secure place for housing team-specific analytics.
• Scheduled Data Refresh: Manually refreshing reports is a hassle. In the Service, you can set up a schedule to automatically refresh the data in your reports. This ensures that everyone is always looking at the most current information, whether it’s refreshed daily, weekly, or even hourly.
• Sharing and Distribution: The Service provides multiple ways to share your work. You can send a direct link to a report, embed it in a SharePoint site, publish it to the web, or even package reports and dashboards into an "App" for wider distribution within your organization.

Power BI Mobile: Insights On the Go

The Power BI Mobile app lets you access your reports and dashboards from anywhere, on any device. Compatible with iOS, Android, and Windows, the mobile app is designed for viewing and interacting with existing reports, not for creating new ones. It’s perfect for the executive who needs to check sales numbers before a meeting or the marketing manager who wants to see live campaign performance on their commute.

Features like data-driven alerts are particularly useful. You can set an alert to notify you if a key metric goes above or below a certain threshold - for instance, getting a push notification on your phone if daily sales drop below a target.

The Supporting Cast: Gateways, Report Server, and Embedded

These components work in the background or serve more specialized needs, but they are critical for making Power BI function in different corporate environments.

Power BI Gateway

What if your company’s data isn’t in the cloud, but is on a server in your office building (known as "on-premises")? The Power BI Gateway is a secure bridge that connects your on-premises data sources to the Power BI Service in the cloud. It allows the Power BI Service to securely reach back into your local servers to perform scheduled refreshes, keeping your cloud reports updated with your local data.

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Download the PDF

Power BI Report Server

Some organizations have strict rules that prevent them from storing their data in the cloud. For them, there is Power BI Report Server. It's an on-premises version of the Power BI Service that a company can install and manage on its own servers. This allows them to use Power BI's reporting capabilities while keeping all of their data behind their own firewall.

Power BI Embedded

For software developers, Power BI Embedded offers a way to embed fully interactive Power BI reports and visuals directly into their own applications, websites, or portals. This allows businesses to add rich analytical features to their products without having to build them from scratch.

Final Thoughts

Understanding these different components helps to see Power BI not just as a single tool, but as a complete ecosystem for business intelligence. You use Power BI Desktop to build reports, Power BI Service to share and collaborate on them, and Power BI Mobile to consume them on the go, with a few other components supporting more specialized deployment needs.

Getting comfortable with all these pieces takes time and a willingness to learn - from Power Query’s data transformations to DAX’s complex formulas. Here at Graphed, we started with a different idea: what if you didn’t need to master a complex ecosystem to get answers from your data? We've connected all your favorite sales and marketing platforms so you can just ask questions in plain English. No need to learn DAX or configure data models - just ask, "Show me my top advertising campaigns by revenue in a bar chart," and get an interactive dashboard, instantly.