Power BI is a one-step solution for creating interactive dashboards, visualizations by preparing and uncovering your data. Its self-service capabilities turn it into an intuitive tool that turns in your data into appealing insights by simply interacting with it. To understand it further, the following reasons are why you should use Power BI for self-service and data analysis.
The ease of connecting data
The tool is a user-friendly platform for bringing the data to one place. It makes it accessible, organized, and visible all the time for your reporting. The tool also has an in-built support for a variety of 70+ cloud-based connectors-Azure Data Warehouse, Dropbox, Google Analytics, OneDrive, and Salesforce. Additionally, it caters Excel spreadsheets, CSV files, and data on-premise (such as SQL Database) as well-which loads all the data in seconds and analyze it in a matter of few minutes. You can also drag-and-drop your files instead of hassling for copy-pasting it.
Power BI uses the modern technologies used for tabular data and compresses it to make sure all the data is incorporated and loaded in memory. This ability to memories this much data makes it a high-performer and give results at its best. It also imposes automatic refreshes to ensure the up-datedness of the data every time. The condensed data is the surety of accessing data in the quickest way possible and bring its analysis even quicker to keep user experiences as smooth as possible.
Tailor-made visuals mean you get the option of customized open-source visuals. Power BI offer loads of data visuals which are pre-packed and standard for creating interactive reports-bar, column, line, map, matrix, pie charts, scatter, table, and waterfall; each of these varieties comes with customization options, so you can enhance your report presentations and their functionalities.
Leverage for native R
Simplicity is the foundation of Power BI’s and the main reason for its strength, but that doesn’t mean it has no capability to nurture more advanced data experts. The leverage for native R; an open-source programming language that offer 7,000+ packs for experts of the field, is one way of the varies ways the tool nurture the needs of experts. R uses more advanced and complex techniques for data manipulation, date models, machine learning, and visualization all integrated in a standard dashboard
Ease of using excel for advanced analytics
Power BI also caters DAX (Data Analysis Expressions) making it the use of Excel a lot easier for the users. The more expert level user can go deep into data and access easier patterns of data analysis. Power BI has been integrated with the Excel, meaning that you do not need to export files separately; simply click “Analyze in Excel” in your report will be formed immediately.
Security and governance of Data
The tool also supports and manages Security, user access, and its interface's security. With Power BI security and governance facilities, you no longer need to look for other options and tools that will provide you such strict compliance and standards that keep your data safe. It also utilizes the AAD (Azure Active Directory), a built-in service that allows the user to use user authentication, SSO (single Sign-on), in addition to regular Power BI credentials for logging in.
Understanding your Data
You can use the Q&A feature to explore any insights you wish of your data, as Power BI is incorporated with natural language search interface. This interface allows its users to create to uncover and visualize insights using regular English words, rather than codes or syntax.
If you use PowerApps app, then you can use Power BI tile in your PowerApp app as a customized visual. With these tiles, you will be able to send contextual data to your app while it updates and makes the relevant changes to your reports. This makes sharing and accessing the data just a tap away within the same interface.
Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms
Power BI stands among the internationally recognized data analytics software. It has made its way into Gartner’s2018 Magic Quadrant for Analytics and Business Intelligence Platforms. It stands side by side with its most popular competitors Qlik and Tableau for the second time in the year running.