Power BI workflow (get data, transform, visualize, share) - Step-by-Step Guide

Introduction

This workflow shows how to bring data into Power BI, clean or change it, create charts and reports, and then share your work with others. It helps you turn raw data into useful insights that anyone can see and understand.

When you have sales data in Excel and want to create a report with charts.

When you need to clean up messy data before making a dashboard.

When you want to combine data from different sources like databases and files.

When you want to share your report with your team or managers online.

When you want to update your report regularly with new data.

Steps

Step 1: Click

- Home tab > Get Data button

A menu appears showing different data source options like Excel, SQL Server, and Web

💡 Choose the data source where your data is stored

Step 2: Select

- Data source (e.g., Excel workbook) and click Connect

A navigator window opens showing tables or sheets available in the data source

Step 3: Check

- Tables or sheets you want to load

Selected data previews appear on screen

💡 You can load data directly or click Transform Data to clean it first

Step 4: Click

- Transform Data button

Power Query Editor opens where you can clean and shape your data

Step 5: Use

- Power Query Editor tools like Remove Columns, Filter Rows, and Change Data Types

Data updates in the preview to reflect your changes

Step 6: Click

- Close & Apply button in Power Query Editor

Cleaned data loads into Power BI model and Power Query Editor closes

Step 7: Drag and drop

- Fields pane onto the Report canvas

Visual charts like bar, line, or pie charts appear on the report

Step 8: Use

- Visualizations pane to change chart types and format visuals

Charts update style and layout as you customize

Step 9: Click

- File menu > Publish > Publish to Power BI Service

Report uploads to your Power BI online workspace

Step 10: Go to

- Power BI Service website and open your report

You can view, share, and set refresh schedules for your report

Before vs After

Before

Data is in an Excel file with extra columns and inconsistent date formats

After

Data is loaded into Power BI with only needed columns, dates formatted correctly, and ready for visualization

Settings Reference

Data source selection

📍 Home tab > Get Data menu

Choose where to get your data from

Default: No default, user selects based on data location

Transform Data options

📍 Power Query Editor ribbon

Clean and shape data before loading

Default: No default, user applies needed transformations

Visual type

📍 Visualizations pane on Report view

Choose how to display your data visually

Default: Blank canvas with no visuals

Publish destination

📍 File menu > Publish

Select where to upload your report online

Default: My workspace

Common Mistakes

Loading data without cleaning first

Messy data can cause wrong or confusing visuals

Use Transform Data to clean and shape data before loading

Publishing report without saving changes

Published report will not have latest updates

Save your Power BI file before publishing

Choosing wrong data source type

Data may not load or connect properly

Confirm your data source type matches your actual data location

Summary

Power BI workflow includes getting data, cleaning it, creating visuals, and sharing reports.

Transforming data before loading ensures accurate and clear reports.

Publishing lets you share your insights online with others.

Practice

1. Which of the following is the correct order of steps in the Power BI workflow?

easy

A. Share reports, get data, transform data, visualize data

B. Get data, transform data, visualize data, share reports

C. Visualize data, get data, share reports, transform data

D. Transform data, share reports, get data, visualize data

Solution

1. Step 1: Understand the Power BI workflow steps

   The workflow starts by getting data from sources, then transforming it to clean and shape it.

2. Step 2: Follow the logical sequence to create insights

   After transforming, you visualize the data to see insights, then share reports with others.

3. Final Answer:

   Get data, transform data, visualize data, share reports -> Option B

4. Quick Check:

   Workflow order = Get, Transform, Visualize, Share [OK]

Hint: Remember: Get, Transform, Visualize, then Share [OK]

Common Mistakes:

• Mixing visualization before transforming data
• Sharing reports before creating visuals
• Starting with sharing instead of getting data

2. Which Power BI feature is used to clean and reshape data after importing it?

easy

A. Power Query Editor

B. Power BI Service

C. Power BI Visualizations

D. Power BI Dashboard

Solution

1. Step 1: Identify the tool for data transformation

   Power Query Editor is the tool inside Power BI used to clean and transform data after import.

2. Step 2: Differentiate from other features

   Power BI Service is for sharing, Visualizations are for charts, and Dashboards display visuals.

3. Final Answer:

   Power Query Editor -> Option A

4. Quick Check:

   Data transform tool = Power Query Editor [OK]

Hint: Data cleaning happens in Power Query Editor [OK]

Common Mistakes:

• Confusing Power BI Service with data transformation
• Thinking visualizations clean data
• Mixing dashboards with data import

3. After importing sales data and transforming it, you create a bar chart showing total sales by region. What is the next step to share this insight with your team?

medium

A. Transform the data again in Power Query Editor

B. Delete the report

C. Create a new data source

D. Publish the report to Power BI Service

Solution

1. Step 1: Understand the workflow after visualization

   Once the bar chart report is ready, the next step is to share it with others.

2. Step 2: Use the correct sharing method in Power BI

   Publishing the report to Power BI Service allows team members to access and view it online.

3. Final Answer:

   Publish the report to Power BI Service -> Option D

4. Quick Check:

   Sharing step = Publish report [OK]

Hint: Publish reports to share with your team [OK]

Common Mistakes:

• Trying to transform data again unnecessarily
• Creating new data sources instead of sharing
• Deleting reports instead of sharing

4. You imported data but the visuals show incorrect totals. Which step likely caused this issue?

medium

A. Creating visuals before importing data

B. Publishing the report to Power BI Service

C. Skipping data transformation in Power Query Editor

D. Sharing the report without permission

Solution

1. Step 1: Identify the cause of incorrect totals

   If data is not cleaned or transformed properly, totals can be wrong due to errors or duplicates.

2. Step 2: Recognize the role of data transformation

   Power Query Editor is where you fix data issues before visualizing; skipping it causes wrong results.

3. Final Answer:

   Skipping data transformation in Power Query Editor -> Option C

4. Quick Check:

   Incorrect totals = Skipped transform step [OK]

Hint: Always transform data before visualizing [OK]

Common Mistakes:

• Blaming publishing for data errors
• Creating visuals without data is impossible
• Confusing sharing permissions with data issues

5. You have sales data from multiple sources with different date formats. How should you handle this in Power BI to create a unified sales report?

hard

A. Use Power Query Editor to standardize date formats before creating visuals

B. Create visuals directly and fix date formats in the report view

C. Publish raw data and ask users to interpret date differences

D. Skip data transformation and only share raw data

Solution

1. Step 1: Recognize the need for consistent data

   Different date formats cause confusion and errors in reports, so standardization is needed.

2. Step 2: Apply transformation in Power Query Editor

   Power Query Editor lets you convert all dates to a single format before visualization, ensuring accuracy.

3. Step 3: Create visuals after data is clean

   Once dates are standardized, you can build reliable visuals and share meaningful reports.

4. Final Answer:

   Use Power Query Editor to standardize date formats before creating visuals -> Option A

5. Quick Check:

   Standardize dates in transform step [OK]

Hint: Fix data issues early in Power Query Editor [OK]

Common Mistakes:

• Trying to fix dates in visuals instead of data
• Sharing raw inconsistent data
• Ignoring data transformation step