Many small businesses and lean teams want Power BI–style reporting, automated data refreshes, clean data models, and interactive dashboards. But budget constraints often make Power BI licensing impractical, and in many organizations, Excel is still the default and trusted reporting tool.

Here in this article, I’ll break down the Power BI workflow, and show how teams can use Excel alone to build scalable, automated, and visually compelling BI reports, effectively replicating Power BI workflow in Excel.

Understanding the Power BI Workflow

Power BI, like any modern BI tool, follows a consistent workflow made up of four key stages.

1. Get and Transform Data: Power BI, through Power Query, supports connections to multiple data sources, including on-premises sources (such as flat files and SQL Server) and cloud services (such as web sources and SharePoint). Data is then cleaned, and reshaped using Power Query to prepare it for analysis and visualization.
2. Model Data: Once the data is loaded, relationships are established between the tables. At this stage, calculated columns, calendar tables, and measures are created using DAX to support meaningful analysis.
3. Visualize Data: Interactive reports are designed using charts, tables, and slicers to clearly communicate insights and tell a story from the modeled data.
4. Publish and Share: This is the final stage of the Power BI workflow, where reports are published to the Power BI Service and shared with others, enabling controlled access, collaboration, and scheduled data refreshes.

With the Power BI workflow clearly defined, let’s explore how the same process can be replicated using Excel.

The How: Replicating the Power BI Workflow with Power Query & Power Pivot

Get & Transform Data with Power Query in Excel

Power Query became a built-in feature in Excel starting with Excel 2016. And just like Power Query in Power BI, it allows users to connect to multiple data sources, clean data, and reshape it for analysis and visualization. This step of the Power BI workflow is replicated in Excel almost directly, with minimal differences in functionality.

Model Data with Power Pivot

Power Pivot is Excel’s built-in data modelling engine and functions similarly to the Power BI semantic model. It enables users to combine multiple tables into a relational data model and use DAX (Data Analysis Expressions) to create calculated columns, measures, date tables, and dynamic calculations. Power Pivot allows teams to perform advanced analytics on large datasets, effectively replicating the data modelling stage of the Power BI workflow.

This functionality, once considered exclusive to Power BI, is fully achievable in Excel through Power Pivot.

Visualize Data in Excel with Pivot Charts and Wireframe Templates

The visualization stage of the Power BI workflow is replicated in Excel by creating Pivot Charts from the data model, which also enables automated refreshes. To take this a step further, wireframe templates can be used to design dashboards that closely matches the look and feel of Power BI reports.

Publish and Share

In this stage of the Power BI workflow, there is no direct publishing equivalent in Excel. Instead, the dashboard file can be shared through traditional methods such as email attachments, shared network folders, or cloud storage platforms like OneDrive or SharePoint.

The Limitations: What Can’t We Do? 

Now that we’ve replicated the Power BI workflow in Excel, it’s important to understand the limitations that come with this approach.

• No Row-Level Security (RLS): Excel cannot enforce user-based data filtering or role-based access to data.
• Model Maintenance Overhead : Managing relationships, DAX calculations, dependencies, and overall model complexity is more manual and tedious in Excel compared to Power BI.
• No Enable Load Toggle: Unlike Power BI, Excel does not allow queries to be excluded from the data model. Unused or helper queries must be deleted; otherwise, they are loaded into the model.
• Limited Collaboration: Collaboration is not as seamless as in the Power BI Service, particularly when multiple users need to work on the same report simultaneously.

Despite these limitations, Excel remains a strong and practical alternative for small teams and budget-constrained environments that need robust, automated BI reporting without additional licensing costs.

Live Project Build 🎥

If you’re interested in seeing how this works in practice, you can watch a full demo of the build process. This project was created from scratch during a live session, covering each step in detail.

Watch the full build webinar: Click Here

Thanks for staying till the end!