Event Name: Powering Data Analytics ThroughPower BI project based Workshop Using Power BI Tools |
Event Date:29.11.2024 |
Faculty Coordinators:Dr. Supriya Dang | Event Timings: 1.30 pm Onwards |
Venue: U.G. Management Department | MOC :Offline |
On 29 November 2024, the Lloyd Group of Institutions organised a special workshop on "Powering Data Analytics Through Power BI project based Workshop Using Power BI Tools”. For BBA business Analytics Students For Session 2023-2026 and 2022-2025 Students. The guest person was Mr. Vibhor Bansal , Associate analyst- Celebal Technologies.
Objective:
Detailed Report:
The guest lecture on Powering Data Analytics Through Power BI, conducted by Mr.Vibhor Bansal. Mr.Bansal explained that Power BI is a powerful data visualization and business intelligence tool developed by Microsoft. It allows users to connect to various data sources, transform data, create interactive reports, and share insights. Power BI is widely used for data analysis, reporting, and decision-making.
Power BI consists of three main components:
Power BI Desktop: A free application for building reports and dashboards on your local computer. It provides a drag-and-drop interface to create interactive visualizations, queries, and reports.
Power BI Service: A cloud-based platform where reports, dashboards, and datasets can be published, shared, and accessed by others. It is used for collaboration and sharing insights across teams.
Power BI Mobile: A mobile app that allows users to view and interact with reports and dashboards on smartphones or tablets.
Power BI supports connecting to a wide range of data sources, including databases (SQL Server, Oracle), online services (Google Analytics, Salesforce), Excel files, web data, and more. The process typically involves selecting a data source, authenticating, and importing data into Power BI for analysis.
Power BI provides Power Query, a tool for cleaning, transforming, and shaping raw data before it’s used in reports. It supports operations like filtering rows, changing data types, merging tables, and adding calculated columns. Power Query ensures that your data is ready for analysis by applying these transformations before it’s loaded into Power BI.
Once data is loaded, users can create a data model by establishing relationships between different tables, defining key measures, and setting up hierarchies. Power BI supports creating calculated columns, measures, and using DAX (Data Analysis Expressions) to define custom calculations.
Power BI allows users to create a wide range of visualizations such as bar charts, line graphs, maps, and tables. These visuals help communicate insights effectively. Users can interact with visuals by filtering and drilling down into data to explore further.
Once the reports and dashboards are created, Power BI allows sharing via the Power BI Service. Users can publish their reports to the cloud, where others can access and interact with them. Collaboration features like comments, sharing links, and real-time data updates help teams stay informed.
Conclusion:
Power BI is a versatile and user-friendly tool for transforming raw data into meaningful insights. By mastering its basics—connecting data, transforming it, building a data model, creating visualizations, and sharing reports—you can effectively communicate your findings and drive data-driven decision-making. With its interactivity and integration capabilities, Power BI empowers users to explore data and uncover insights dynamically. As you progress, diving into advanced features like DAX, custom visuals, and performance optimization will further enhance your reporting skills.