Microsoft Power BI Reviews & Product Details

I use Microsoft Power BI to analyze and visualize data, create interactive dashboards and reports, and turn raw business data into useful insights for better decision-making. Power BI helps me solve the problem of handling large amounts of data and making it easier to understand. It helps me identify trends, track performance, create clear reports and dashboards, and make faster, data-driven business decisions. What I like most about Microsoft Power BI is its easy-to-use interface and powerful data visualization features. I especially like the interactive dashboards, customizable charts, real-time data analysis, and the ability to connect data from multiple sources. These features make it easier to understand complex data and present insights clearly. Interactive dashboards let me quickly monitor key metrics and explore data by filtering different categories. Customizable charts help me present information in a simple and meaningful way, depending on the type of analysis. Real-time data analysis helps me stay updated on performance and identify changes quickly. Finally, connecting multiple data sources allows me to bring information from Excel, databases, and other sources into one place, which saves time and makes analysis more efficient. We switched to Microsoft Power BI because it handles larger datasets more efficiently, provides more interactive dashboards and visualizations, and makes it easier to share reports and track key business metrics in one place. The initial setup was fairly easy, especially for basic reporting. Connecting Excel files and importing data was straightforward, and creating the first dashboards did not take much time. I would highly recommend Microsoft Power BI because it offers powerful data visualization, interactive dashboards, and efficient data analysis, especially for business and marketing use cases. Review collected by and hosted on G2.com.

I find the learning curve for beginners challenging. I struggle with advanced features, DAX formulas, and data modeling concepts. The interface can also feel complex when working with large datasets or many visualizations. I wish there were better beginner-friendly guidance, simpler error messages, and more intuitive data modeling tools to make Power BI easier to use. Review collected by and hosted on G2.com.

Can easily connect to data sources like lists, SQL servers, as well as Excel /csv stored in SharePoint, then build semantic models which can also be further used to build reports using a wide variety of prebuilt charts,The charts can be populated with data by dragging and dropping the respective columns from the dataset to create the chart. It’s also easy to publish dashboards and write access control rules.Its a no code business data analytics solution from Microsoft with minimal coding to build a dashboard Review collected by and hosted on G2.com.

Data loading takes time, so when I’m working with large datasets, even a minor change means I have to wait through the loading time again. Review collected by and hosted on G2.com.

The sheer power of its data modeling capabilities is incredible. I can pull data from completely different sources—like SQL servers, Excel sheets, and cloud apps—and connect them flawlessly. The visualization options are vast, and the ability to create highly interactive, clickable dashboards that let stakeholders drill down into specific metrics is a game-changer for our reporting. Review collected by and hosted on G2.com.

The learning curve for DAX (Data Analysis Expressions) is brutally steep. If you want to do anything beyond basic calculations, you have to spend hours troubleshooting complex formulas. Also, the Desktop version is exclusive to Windows, which is a major hassle for the Mac users on our team who have to rely on virtual machines or the limited web version. Review collected by and hosted on G2.com.

Extremely easy to build dashboards with zero code. The Power Query Editor helps create data transformations by selecting the respective buttons and then choosing options for transformation with little to no coding. PowerBI also allows you to connect to a wide variety of data sources such as SharePoint lists, SQL, Excel, SharePoint, etc. There are also a wide variety of chart options that can be created with simple drag-and-drop and selecting the the respective columns. Publishing is also essentially one click: by selecting the workspace, the dashboard can be published. Review collected by and hosted on G2.com.

The data load time for large datasets is pretty long. Review collected by and hosted on G2.com.

What I like most about Microsoft Power BI is how quickly it turns raw data into clear, interactive visuals. The drag-and-drop interface feels intuitive, even for beginners, yet it still offers powerful analytics for advanced users. Real-time dashboards, seamless integration with other tools, and strong data connectivity make it incredibly practical for everyday decision-making and reporting tasks. Review collected by and hosted on G2.com.

What I dislike about Microsoft Power BI is that it can feel slow and resource-heavy, especially with large datasets. The learning curve becomes steep when moving into advanced features like DAX and data modeling. Licensing and sharing reports can also be confusing, and collaboration isn’t always as smooth as expected compared to some other modern analytics tools. Review collected by and hosted on G2.com.

What we like most about Microsoft Power BI is how quickly it turns raw data into something business teams can actually use. The UI is clean and fairly intuitive, so even non technical users can navigate dashboards and build simple reports without too much hand holding, while data teams still have the flexibility to create more advanced models and visualizations. Integration has also been a strong point for us. Since we already work heavily within the Microsoft ecosystem, connecting Power BI with Microsoft Fabric, OneLake, Excel, and other Azure services was pretty seamless. Features like Direct Lake and scheduled refreshes helped improve reporting performance without creating too much additional overhead. For example we used it to pull data from SQL Server and a few Excel based finance reports into OneLake and the Direct Lake connection reduced a lot of the refresh delays we used to deal with in our older import based setup.

From a collaboration standpoint, it is much easier to share dashboards and keep everyone aligned on the same metrics. It cut down a lot of the manual back and forth we used to have with exports and static reports. The ROI became noticeable fairly quickly because reporting cycles were faster and business users became more self sufficient. Performance has generally been solid for day to day reporting, although larger datasets still need careful optimization. DAX and report tuning can become a bit of a hurdle as complexity grows, especially for newer users.

Support and onboarding were decent overall. There’s a large community and plenty of learning material available, although most teams still need some hands-on experience before getting fully comfortable with advanced modeling and governance.

We have also started exploring some of the AI driven capabilities. Features like natural language queries and AI assisted visuals have been useful for speeding up simple analysis, although some of the more advanced AI functionality still feels like it is evolving. Review collected by and hosted on G2.com.

What i have found challenging with Microsoft Power BI is that while the UI is easy enough for basic reporting, things get more complicated once you move into advanced modeling and DAX. New users can build dashboards fairly quickly, but optimizing reports and managing larger datasets takes more experience than expected.

Performance is generally good although refresh times and visuals can slow down as you add more layers to the reports. We have also had to spend time managing permissions and governance across Power BI, Fabric and Azure services to keep things organized. Specifically, we ran into a few headaches while setting up Row Level Security (RLS) across a larger Fabric workspace. It was not a deal breaker but it definitely required more trial and error than we initially expected. Pricing can become difficult to track once Premium features and larger capacity requirements come into play so controlling report sprawl is important for maintaining ROI.

Support and onboarding are decent overall mainly because of the large community and documentation available but a lot of advanced learning still comes through hands on experience.

We have also explored some of the AI driven capabilities. They are useful for speeding up simple analysis and data exploration, although some of the more advanced features still feel like they are evolving. Review collected by and hosted on G2.com.

The possibility of integrating all my systems under an integrated dashboard, thus allowing a user-friendly and analytical view of all my indicators from all the company's systems, now with the new copilot integrations that assist in development with tools and as a guide within the app, the support and help community that this system has is valuable, for quite affordable license prices and the ability to update multiple data sources with a single click without affecting performance thanks to the multiple data loading options we have to choose from. Review collected by and hosted on G2.com.

I feel that the development interface could be more user-friendly, as it has many options that can sometimes be confusing or even conflicting for people looking to develop basic dashboards with high-level indicators. Review collected by and hosted on G2.com.

Power BI has become an essential part of my daily workflow. It simplifies data analysis, helps me create professional dashboards, and turns raw data into meaningful insights. I would definitely recommend it to anyone working in business intelligence, reporting, or data analytics.

The UI / UX of Power BI has a clean, intuitive interface. Once you spend a bit of time getting familiar with it, building dashboards and reports feels smooth and straightforward. The drag-and-drop experience makes creating visualizations quick and efficient.

Integrations is one of my favorite aspects is how easily it connects to Excel, SQL Server, CSV files, and various cloud services. Being able to combine data from multiple sources has made my reporting workflow much easier and more flexible.

Performance has been reliable for most of the datasets I work with. Reports generally load quickly, and scheduled refreshes keep dashboards up to date without requiring manual effort.

The free version is a great option for learning and personal projects. For business use, the Pro license offers solid value because it saves time on reporting and improves collaboration across teams.

There are plenty of tutorials, documentation resources, and community forums available. I was able to pick up the basics quickly, and whenever I got stuck, it was easy to find solutions online.

The built-in AI features, such as Quick Insights and natural language queries, are helpful for exploring data faster. They make it easier to spot trends and generate insights without having to write complex queries. Review collected by and hosted on G2.com.

One drawback of Microsoft Power BI is its learning curve, particularly when you’re working with DAX, Power Query, or more complex data models. In addition, large datasets can sometimes slow report performance. Also, some collaboration and sharing features require a Power BI Pro or Premium license, which can raise costs for teams. Review collected by and hosted on G2.com.

Power BI has a lot of features. I don't know where to start, but if I had to pick the "best" thing, it would be how it converts raw, complex, messy data into something that is easy to read and understand. And it does it rather quickly. Power BI is also very user friendly and easy to maneuver. Other apps and programs can sync and connect with no issue and without having to do too much. I also love how it refreshes automatically. Review collected by and hosted on G2.com.

It's a great program, but it's not perfect by a long shot. It can be complex when you start working with formulas. It lags at time when the datasets are a bit larger. Lastly, power queries can be confusing and hard to interpret and understand. Review collected by and hosted on G2.com.

What I like best about Microsoft Power BI is its seamless integration with enterprise data platforms such as Databricks, enabling real-time analytics and scalable reporting. Its intuitive dashboards, strong data modeling capabilities, and tight integration with the Microsoft ecosystem make it highly effective for business intelligence and decision-making. Review collected by and hosted on G2.com.

One drawback of Microsoft Power BI is that performance can slow down when handling very large datasets without proper optimization. Some advanced features have a learning curve, and licensing costs can increase as organizations scale and require premium capabilities. Review collected by and hosted on G2.com.