Microsoft offers Power BI, a technology-driven business intelligence (BI) solution for presenting actionable information by analyzing and visualizing raw data. It combines best practices in data visualization and business analytics to help organizations better understand their data. Power BI's strengths were recognized in February 2019 when Gartner named Microsoft a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms.
Microsoft Power BI is a business analytics tool that allows users to visualize and share insights across their organization. It transforms data from multiple sources into dynamic dashboards and detailed BI reports.
This self-service BI platform empowers non-technical users to analyze, visualize, and collaborate with data efficiently. Its user-friendly interface, especially familiar to Excel users, and seamless integration with other Microsoft products make it a flexible and accessible tool that requires minimal training.
Power BI enables organizations to mine their data for insights. With Power BI, it is possible to link diverse data sets, clean and modify the data into structured data models, and produce visual representations such as graphs and charts. These visuals can then be shared across teams or departments.
Organizations can use the data models produced by Microsoft BI in several ways, such as the following:
1. Telling stories with data visualizations and charts
2. Exploring "what if" scenarios for strategic planning
3. Creating real-time reports that answer key questions and support forecasting to meet business goals
Power BI is widely used by department staff and leadership alike. Sales and marketing teams use it for forecasting and performance tracking, while management relies on it for insights into departmental or individual progress. Additionally, BI offers a portal for administrators to help configure its usage, as well as usage monitoring and licenses.
Despite being a self-service BI tool that makes data analytics accessible to all users, its primary users are data analysts and BI professionals who create the data models before disseminating reports throughout the organization.
Since its launch, Power BI has continuously evolved, offering a robust suite of data analytics tools. Key features include:
1. Machine Learning Integration: Users can use automated machine learning features to develop machine learning models, integrate with Azure Machine Learning, and utilize text analytics and picture recognition in Power BI.
2. Support for Hybrid Deployment: With the help of these built-in connectors, Microsoft BI tools can now connect to a variety of data sources, including Salesforce, Microsoft, and other suppliers.
3. Fast Takeaways: With this capability, users can automatically apply analytics to data and create subsets of that information.
4. Support for Common Data Models: The common data model, which BI supports, makes it possible to employ an extendable and standardized set of data schemas (entities, attributes, and relationships).
5. Personalization: With the help of this capability, developers can import additional tools and modify the look of the standard reporting and visualization tools.
Project Crescent, the original name of BI, was released in July 2011 in conjunction with SQL Server, code-named Denali. After that, it was rebranded and debuted as Power BI for Office 365, which is now Microsoft 365, in September 2013.
Over time, Microsoft added capabilities including enterprise-level data connectivity and security options, which were initially modeled off Excel features like Power Query, Power Pivot, and Power View. In July 2015, Microsoft BI was made available for purchase independently.
Today, Microsoft constantly adds new functionality and enhancements to the BI program. Users can obtain Microsoft BI Desktop from the Windows Store or download the most recent version from the Power BI website to stay up to date.
Microsoft Power BI functions by establishing connections between data sources and offering users a BI dashboard. It can link to an Excel spreadsheet alone or combine on-premises and cloud-based data warehouses. Refreshing data from cloud-based sources, such as Salesforce CRM, is automatic.
Several tools for creating and sharing data reports are included in BI. They are as follows:
Now that you know what Microsoft BI is and how to use it, let us give you insights on how you can learn BI for free. There are various platforms where you can learn the ins and outs of BI for free, like UniAthena’s Basics of Visualization in Power BI, and advanced courses like Mastering Power BI - Data Modelling & DAX.
As a powerful business intelligence tool, Power BI enables users to transform raw data into meaningful insights through interactive dashboards and reports. We hope that this guide to Power BI helped you with the basics of what is Microsoft BI.
Start your Power BI learning journey today and explore how this tool can enhance your ability to analyze and present data with confidence! Let us know in the comments below what your thoughts are on it! Also, don’t forget to check out more free learning opportunities with UniAthena.
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