Importing Financial Data into Power BI

Hello! Welcome back to our introduction to Power BI.

In our previous lesson, we took a guided tour of the Power BI Desktop interface. We familiarized ourselves with the Ribbon, the different Views, the main Canvas, and the crucial side Panes for Fields, Visualizations, and Filters. You learned that the Fields pane is where our data will live, but so far, it's been empty.

Today, we're going to change that. Our goal is to connect to and import financial data from Excel and other sources into Power BI. This is the foundational step for any analysis. Before you can create compelling visualizations, you need to bring your raw data into the tool. We will focus on the most common data sources you'll encounter in financial analysis: Excel workbooks, text/CSV files, and data from the web.

1. The "Get Data" Philosophy of Power BI

Power BI is designed to be a central hub for data from many different places. Unlike Excel, which primarily works with data contained within a single file, Power BI excels at connecting to and consolidating various data sources.

The starting point for this process is always the Get Data button, which you'll find prominently on the Home ribbon.

2. Connecting to Excel: Your Primary Workflow

Since we've already worked with financial data in Excel, connecting Power BI to your existing workbooks is the most logical and important first step. This will allow you to leverage the data preparation you did in Excel and take your visualizations to the next level in Power BI.

Let's do this with a hands-on exercise using a sample financial dataset from Microsoft.

The Navigator Window

After you connect to an Excel file, Power BI shows you the Navigator window. Here, you can see all the tables and sheets within the workbook and preview their contents. You'll then have two main choices for each table you select:

• Load: This option loads the data directly into your Power BI model as-is. It's quick and works well if your data is already perfectly clean and structured.
• Transform Data: This option opens the Power Query Editor. This is an incredibly powerful tool that allows you to clean, shape, and prepare your data before it gets loaded. We will explore this in detail in our next lesson.

For now, watch this short video to see the Excel import process in action, including the Navigator step.

To reinforce this, the article below provides a great text summary of the import process and the choice between loading and transforming.

3. Expanding Your Horizons: Other Common Data Sources

While Excel is essential, much of the financial data you'll want to analyze comes from other sources. Historical stock prices are often downloaded as CSV files, and real-time data might be available in tables on websites. Power BI can handle these with ease.

This next video provides an excellent tour of connecting to multiple data types. We will watch it in segments.

Next, let's look at importing from simple text files, specifically Comma-Separated Values (CSV) files. This is one of the most common formats for exchanging financial data.

4. The Universe of Data Connectors

We have focused on the most common file types, but Power BI's capabilities extend far beyond them. It can connect to enterprise databases (like SQL Server), cloud services (like Azure), online platforms (like Salesforce), and even pull data from tables within PDF documents.

You don't need to learn all of these, but it's valuable to know what's possible.

Conclusion

Excellent work! You've successfully navigated one of the most critical first steps in Power BI: getting your data into the application. The once-empty Fields pane can now be populated with data from a variety of sources, ready for analysis.

Key Takeaways:

• The Get Data button on the Home ribbon is the starting point for all data import operations.
• Power BI has specific, optimized connectors for different data sources, including Excel workbooks, Text/CSV files, and Web pages.
• The Navigator window appears after you select a source, allowing you to preview and select the specific tables or sheets you want to import.
• You always have a choice to either Load the data directly or Transform Data first to clean and prepare it.

In this lesson, we focused on connecting to data and briefly saw the "Transform Data" button. This button is the gateway to the Power Query Editor. In our next lesson, we will dive headfirst into the Power Query Editor to perform basic data transformation and cleaning tasks. This is where we'll handle issues like incorrect data types, extra rows, and other common data quality problems to ensure our data is perfect for visualization.