Microsoft Corporation

Microsoft Power BI

Composite Score

8.8 /10

CX Score

9.1 /10

502 Reviews Write a Review

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What is Microsoft Power BI?

Power BI is a business analytics solution that lets you visualize your data and share insights across your organization, or embed them in your app or website. Connect to hundreds of data sources and bring your data to life with live dashboards and reports.

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Awards & Recognition

Microsoft Power BI won the following awards in the Business Intelligence & Analytics - Enterprise category

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2026 Data Quadrant Champion

Latest Award, 2026

5 Top Rated Capabilities

14 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

2025

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2025

2025 Data Quadrant Champion

2025

9 Top Rated Capabilities

15 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Product Impact
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

5 Top Rated Capabilities

4 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

2023 Data Quadrant Champion

2023

6 Top Rated Capabilities

6 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Product Impact
Contract Negotiation

2022

2022 Data Quadrant Champion

2022

7 Top Rated Capabilities

9 Top Rated Features

2022

Microsoft Power BI Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Microsoft Power BI.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

89 Likeliness to Recommend

2
Since last award

98 Plan to Renew

1
Since last award

84 Satisfaction of Cost Relative to Value

2
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Microsoft Power BI?

2% Negative

4% Neutral

94% Positive

Pros

Reliable
Respectful
Performance Enhancing
Acts with Integrity

Feature Ratings

Average 82

Dashboard

Data Exploration and Visualization

Collaboration

Data Modelling Tools

Real-Time Visualization

BI Security

BI Platform Administration

Advanced Analytics and Data Science

Operational Reporting Capabilities

Data Connectors and Data Mashup

Spatial Analysis

Vendor Capability Ratings

Average 80

Quality of Features

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Customization

Vendor Support

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.8

View Microsoft Power BI in this category (opens in a new tab)

Microsoft Power BI Reviews

Vikas P.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted May 2025

Data Analysis made easy

Likeliness to Recommend

9 /10

What differentiates Microsoft Power BI from other similar products?

Microsoft Power BI stands out due to its: Seamless Integration, User-Friendly Interface, Advanced Analytics, Scalability, Affordable Pricing. These features make Power BI a popular choice for data analysis and visualization.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Power BI is its User-Friendly Interface, which makes it easy to create interactive visualizations and reports, even for users without extensive technical expertise.

What do you dislike most about this product?

One potential drawback of Microsoft Power BI is its Data Refresh Limitations in the free version and potential complexity in handling large datasets and advanced analytics.

What recommendations would you give to someone considering this product?

Excess your data need, explore training resources, leverage integration.

Pros

Reliable
Enables Productivity
Effective Service
Generous Negotitation

John O.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2025

Powerful and Flexible Tool for Data Visualization

Likeliness to Recommend

10 /10

What differentiates Microsoft Power BI from other similar products?

Users familiar with Excel can quickly adapt to Power BI thanks to Power Query, DAX (Data Analysis Expressions), and pivot table-like capabilities.

What is your favorite aspect of this product?

My favorite aspect of Power BI is its ability to empower users—both technical and non-technical—to turn raw data into clear, interactive visual stories quickly.

What do you dislike most about this product?

What I dislike most about Power BI is its sometimes steep learning curve—especially when it comes to  DAX complexity

What recommendations would you give to someone considering this product?

Understand Your Use Case First Determine if you need: Self-service BI for non-technical users Enterprise reporting with robust governance Real-time dashboards for operational monitoring Power BI handles all three, but setup and licensing can differ.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Trustworthy

Olanrewaju F.

Role: Operations
Industry: Banking
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted May 2025

Powerful analytics tool needs better collaboration

Likeliness to Recommend

9 /10

What differentiates Microsoft Power BI from other similar products?

Microsoft Power BI stands out from similar products due to its deep integration with the Microsoft ecosystem (especially Excel and Azure), user-friendly interface, powerful data modeling with DAX, robust visualization options, and competitive pricing, particularly for organizations already using Microsoft 365

What is your favorite aspect of this product?

My favorite aspect of Microsoft Power BI is its seamless integration with Excel and other Microsoft tools, which makes it easy to transition from spreadsheets to dynamic, interactive dashboards without a steep learning curve

What do you dislike most about this product?

What I dislike most about Microsoft Power BI is the limited version control and collaboration features, which can make team-based development and tracking report changes challenging

What recommendations would you give to someone considering this product?

I’d recommend that anyone considering Microsoft Power BI take time to learn its data modeling concepts, especially DAX and Power Query, and ensure it fits well within their existing Microsoft ecosystem, as its full potential is best realized when integrated with tools like Excel, Azure, and SharePoint

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

Cons

Less Efficient Service

Microsoft Power BI

What is Microsoft Power BI?

Company Details

Book a Free Demo Today!

Awards & Recognition

2026 Data Quadrant Champion

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

Microsoft Power BI Ratings

89 Likeliness to Recommend

2 Since last award

98 Plan to Renew

1 Since last award

84 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Microsoft Power BI?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

BI Platform Administration Centralized console to manage BI portal administration. Management metrics and reports on usage, resource utilization, security, and other activities.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

Operational Reporting Capabilities Real-time detailed reporting to support operational business processes.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Microsoft Power BI Reviews

Vikas P.

Data Analysis made easy

Likeliness to Recommend

Pros

John O.

Powerful and Flexible Tool for Data Visualization

Likeliness to Recommend

Pros

Olanrewaju F.

Powerful analytics tool needs better collaboration

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Dashboard

Data Exploration and Visualization

Collaboration

Data Modelling Tools

Real-Time Visualization

BI Security

BI Platform Administration

Advanced Analytics and Data Science

Operational Reporting Capabilities

Data Connectors and Data Mashup

Spatial Analysis

Vendor Capability Ratings

Quality of Features

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Customization

Vendor Support