One of the most popular business intelligence tools nowadays is Power BI. It provides strong tools for analysis and visualization, as well as data modeling, data transformation, and ETL possibilities. As I’ve observed, businesses are increasingly using Power BI and Fabric solutions to improve their data capabilities and streamline decision-making processes. But to overcome obstacles and be ready for any situation, it’s imperative to understand Power BI’s limitations. It begs the question: Is it possible to overcome these obstacles?
This article will explain the scope and limitations. If you want to improve your analytical skills and discover how to circumvent its restrictions, I advise you to enroll in Power BI Training in Chennai.
Limitations of Power BI
- Microsoft Excel power users will benefit best
- Complex in nature
- Data quality
- Does not handle large data sources properly
- Performance Issues
- Bulky User Interface
- Limited Sharing of Data
- Limited Customization
- Online-only
- Modeling Limitations
Microsoft Excel power users will benefit best
It should be recognized that most business people you encounter won’t be Microsoft Excel whizzes. If business users are the intended audience for your business intelligence model, then be aware that using Microsoft Power BI will be pretty difficult, mainly if you are not an expert in Microsoft Excel.
Complex in nature
Because Microsoft created Power BI in such a complicated way, this is one of the main areas for improvement of the tool. With so many components in Power BI, it might be challenging to figure out which one you would require. Among them are Power BI Desktop, Power BI Gateway, Power BI Services, etc. Additionally, this software has no moving parts, which might save you time and effort in figuring out how each portion works. This raises the product’s troubleshooting complexity and its total cost of ownership.
Data quality
Microsoft Power BI does not offer data cleansing. This means that it assumes that the data you are extracting has been thoroughly cleaned up beforehand and is of a high caliber. Therefore, if you require data cleansing skills, you may need to find a different way to clean your data. To effectively address this, consider enrolling in a Power BI Online Course, which can provide additional insights and techniques to enhance your data preparation process.
Does not handle large data sources properly
Microsoft Power BI won’t be your best bet if you need to evaluate a sizable amount of data. Large datasets may be complex to connect to and import, and you may also experience issues like timeouts and poor performance.
Performance Issues
It has been noted that cannot process more than 20,000–30,000,000 rows without experiencing performance difficulties for some queries. It could simply time out while processing. In more complex environments, understanding how different data sources interact is crucial, making advanced React JS Training in Chennai an excellent complement to your Power BI skills. You can choose not to deal with this problem by creating many queries and dividing them based on dates to cover the entire range of data.
Limited Customization
The limited feature set of another disadvantage. I have to search for a tip, DAX, or custom visual so often in order to make a basic visual. Although it has many visualizations available, its formatting options are its most obvious drawback. It may seem unbelievable, but even the most basic features—like a data table, legends, or color—can be extremely difficult to use as intended. I utilize DAX and hacks to make the appearance of the identical example as a workaround.
Online-only
Power BI Desktop and Service are the two versions. Users require the service in order to exchange and work together on reports. One of its drawbacks is that online, commercial program that needs internet access to view the data. Businesses and users who need to see the report offline or don’t have reliable internet access may have serious problems with performance that could reduce their output.
One way that users typically deal with this is by using Power BI as a report-generating tool. In other words, users can select their favorite view, apply a filter, and then download the PDF or PPT version to share or examine the data. To gain deeper insights and skills, consider enrolling in a to enhance UI UX Designer Course in Chennai your Power BI expertise.
Modeling Limitations
- DAX is a sophisticated language that opens up endless possibilities for data modeling in it. Simultaneously, numerous small features vanished during the previous few years. It took until the last few months to change data models and build calculation groups in the service.
- With its latest updates, it has been concentrating on improving its functionality. They have notably included query view options, DAX formatting, and model refresh. With these changes, customers should have easy-to-use tools for debugging and performance optimization of their codes.
Power BI is a leading business intelligence tool with strong analysis and visualization capabilities. However, it has limitations, including a Microsoft Excel-like interface, complexity in dashboard creation, data handling challenges, and performance issues with large datasets. Despite these drawbacks, evolving with updates like on-object interaction and enhanced visualization. By adopting best practices and staying informeds, users can maximize its potential, solidifying Power BI’s position as a top visualization tool in business intelligence.
We can conclude that Power BI’s limitations scenarios, user interface, and visualization options account for the majority of its constraints. In addition, we now know how to go around or beyond these restrictions. FITA Academy’s Power BI Courses Marathahalli can assist you in overcoming Power BI limits, as the tool is continuously striving to improve them.