What are the Advantages & Disadvantages of Power BI?
Power BI is a fantastic tool for analyzing data and uncovering key insights. But first, let’s take a closer look at the benefits and drawbacks of Power BI so you can compare it to other tools.
What is Power BI?
Microsoft’s Power BI is a cloud-based business intelligence service suite. It uses straightforward graphics and tables to turn raw data into relevant information. Data can be easily analyzed and used to make key business decisions. Power BI is a set of business intelligence and data visualization solutions that includes software services, apps, and data connectors.
By creating sharable reports, dashboards, and applications, we may use the datasets imported in Power BI for data visualization and analysis. Power BI is an intuitive application with powerful drag-and-drop functionality and self-service capabilities. Power BI may be used on both on-premise and cloud systems.
Advantages:
1) Affordability:
One of the biggest benefits of utilizing Power BI for data analysis and visualization is that it is quite inexpensive. Power BI Desktop is available for free. You may download it and use it on your PC to create reports and dashboards. If you wish to leverage more Power BI services and publish your reports to the cloud, the Power BI Cloud service solution is available for $9.99 per user per month.
2) Custom Visualizations:
Custom visualizations, or visualizations created by developers for a specific purpose, are available in Power BI. Microsoft Marketplace has custom visuals available. You can utilize Power BI custom visuals in your reports and dashboards in addition to the standard set of visualizations. KPIs, maps, charts, graphs, R script visuals, and other bespoke visualizations are among the options.
3) Excel Integration:
You can also use Power BI to upload and see your data in Excel format. You may export data from a Power BI report or dashboard to Excel by selecting, filtering, and slicing it. The same data can then be viewed in tabular form in an Excel spreadsheet by opening Excel. In other words, the Excel connectivity feature in Power BI allows users to see and deal with the raw data behind a Power BI representation.
4) Data Connectivity:
Another significant benefit of using Power BI as your data analysis tool is the ability to input data from a variety of sources. It connects data files (such as XML and JSON), Microsoft Excel, SQL Server databases, Azure sources, cloud-based sources, and web services like Google Analytics and Facebook, among others.
5) Power BI Embedded:
Disadvantages:
1) Table Relationships:
Power BI excels at handling simple table relationships in a data model. However, if there are intricate interactions between data, such as several links between tables, Power BI may not be able to manage them well.
2) Crowded User Interface:
Users frequently complain about Power BI’s cluttered and unwieldy user interface. It’s in the sense that there are numerous symbols of options that obscure the dashboard or report view. The majority of consumers desire the user interface or report canvas had fewer icons and options.
3) Handling Large Data Volumes
The maximum amount of data that Power BI can absorb at one time is about 2 GB. If you want to import and use even more data, you’ll need to upgrade from the free edition to the paid version of Power BI. Users have also reported that when processing millions of rows and columns of data, Power BI takes a little longer than usual or even hangs.
4) Complex to Understand and Master:
If you just want to import data and create reports, Power BI is usually the easiest BI application to use. However, Power BI is a complete package with numerous interconnected capabilities. When you need to use Power BI Desktop for more than just creating reports, you’ll need to learn and master a variety of different technologies, including Gateways, Power BI Report Server, and Power BI Services.
Tech Stack:
- Power Pivot (Data Modeling Technique)
- Data Analysis Expression (DAX) Language
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