Whether it is about creating rich data reports to connect insightful data from colossal datasets, or using interactive dashboards to consolidate key data metrics; Power BI is the premium tool to get engaged with business data, fetching it from disparate data sources or for making smarter, insightful business decisions.
MS Power BI provides data discovery and preparation, rich visualization, and interactive dashboards under single solutions. Also, the self-service capabilities of the tool make it highly interactive and intuitive when it comes to transforming data into insights. In this blog post, we have listed the top 10 reasons that will surely convince you to use Power BI for your business analytics.
With MS Power BI, it is incredibly easy to bring your data altogether at one place, while resulting in greater accessibility, visibility, organization, and eventually improved reporting efforts. MS Power BI tool currently supports 70+ out-of-the-box connectors, enabling your business to access and collect data from a wide range of data sources (cloud-based) including DropBox, Azure, Google Analytics, SalesForce, etc. in addition to CSV Files, Excel Spreadsheets and other on-premise data locations, for instance SQL Database.
With all these built-in connectors, the pre-designed Power BI dashboards can be used immediately to perform powerful data analysis. Also, the interface elements can be customized as per the user’s choice. If you don’t find the pre-designed dashboard convenient to use, you can get your Power BI and data experts to design and import datasets from scratch to develop dashboard and Power BI reports of your own choice.
The drag and drop interface of Power BI enables you to avoid code or copy & paste anything, rather you can combine multiple files in Power BI (such as Excel Spreadsheets) while merging all the important data into a single report.
The data modeling engine of Power BI is called ‘Power Pivot’ which is basically shared with MS Excel and it is a highly performant columnar database, which uses a modern tabular database method for database compressions while ensuring complete loading of data into its memory for optimally efficient performance. When using MS Excel for data comparison, the tools start to slow down while dealing with large data models; however, Power BI is designed to handle colossal datasets even if they are with 100 million records without breaking a sweat.
Power BI also implements incremental, automated refreshes, which ensure the fact that your data is always updated, which is an invaluable advantage to further streamline visual reporting for users. In sum, Power BI efficiently loads and condenses millions of data records into memory which enables the snappier and quicker experience of data analysis for end-users.
To leverage interactive data reports, Power BI offers you a ton of pre-packed data visuals such as column, line, bar, map, pie, charts, matrix, table, scatter and waterfall etc. And, all these visuals come along with a variety of customization options for enhanced functionality and presentation. However, if you still want extra, you can easily use free custom visual that can be created by Power BI developers and shared in Power BI Community to help you represent your data in the best possible way. At Power BI Community, Microsoft Community, and AppSource Marketplace, you can find an impressive range of complex and rich visuals that can be used to include bullet graphs, decision trees, sparklines, correlation plots, heatmaps, and much more.
The core strength of Power BI lies within its simplicity, but what’s unique about the platform is that it equally serves the needs of advanced data experts. The way it achieved this proficiency is through its support for R-Integration, which is an open-source programming language with over 7000 packages and is primarily designed for data statisticians and data miners. Power BI is incredibly good for data slicing and data drilling to represent the better relationships among variables, hierarchies, and key metrics. With the support of R integration, users can present advanced business analytics and shaping predictive trends, machine learning, and data smoothing.
Advanced users of Excel, that are knowledgeable in Data Analysis Expressions (DAX) to dig deeper within data and find patterns by using features that are similar to Power Pivot such as forecasting, clustering, quick measures, and grouping, etc. The embedded Power BI Service also seems familiar to Excel users, while making it easier to transform, ingest, enrich and integrate business data into Power BI dashboards and reports. In short, the MS Power BI toolset is very powerful and it is very easy to be learned by Excel users and allows you to leverage existing organizational expertise quickly and easily.
Power BI allow you to manage user access and security within the same interface while removing the need to safely use other tools, while ensuring you to meet stringent regulatory and compliance standards at the same time. Power BI has in-built service of Azure Active Directory (AAD) for user authentication, which allow leveraging SSO (Single Sign-On), along with regular Power BI login credential for getting data access.
If you use PowerApps, you can use Power BI custom visuals to embed your personalized Power BI tiles within your app. Native integration of Power BI with PowerApps allows you to send and receive data while using your in-built custom application within a similar interface. If you are not familiar with PowerApps, then it is a powerful enterprise-level tool that can be used to create business applications that are fully functional on almost all operating systems Android, Windows and iOS and web browsers, etc., with a very simple interface that does not require much of coding expertise.
Why MS Power BI is growing popular day by day is not that hard to understand. The Business Intelligence tool is frequently adopted by businesses for seeking interactive dashboards, better insights, and rich data reporting. Now, it is high time to leverage services and many tools available to get your business prepared for the successful adoption of Power BI to get improved data insights across your organization.