1.1 Introduction
2.1 What is Power BI
3.1 Power BI Features
4.1 Power BI Components
5.1 Power BI Service
6.1 How to create charts and graphs?
7.1 Data Models in Power BI
8.1 Dax Functioins
9.1 Data Modeling
10.1 Power BI Dashboard
11.1 Knowledge Check
Power BI transforms raw data into actionable insights through interactive dashboards and visualizations. Developed by Microsoft, this business intelligence tool integrates seamlessly with Excel, SQL databases, and cloud services like Azure. Users can create dynamic reports with drag-and-drop simplicity, leveraging features like DAX for advanced calculations. Its real-time data updates and natural language queries empower businesses to monitor KPIs, spot trends, and make informed decisions. Customizable visuals and sharing capabilities enhance collaboration across teams. From finance to marketing, Power BI’s scalability and ease of use make it a go-to solution for data-driven strategies.
No requirements.
Accelerating Sustainability with AI 2025 PDF Free Download | SPOTO
Power BI is Microsoft's cloud-based business intelligence platform designed to transform raw data into actionable insights through analytics and visualization. It integrates tools like Power Query (data extraction), Power Pivot (modeling), and Power View (interactive reports) to connect diverse data sources—from Excel files to cloud databases—and build dynamic dashboards. Ideal for both technical and non-technical users, Power BI enables real-time data monitoring, collaborative reporting, and mobile access, making it a cornerstone for data-driven organizations. Its core components include Power BI Desktop (report creation), Power BI Service (cloud sharing), and Power BI Mobile (on-the-go insights).
Effective analysis begins with connecting to data sources (Excel, SQL, APIs) and leveraging Power Query for initial transformations. Users then model data using relationships and DAX formulas (e.g., calculating sales growth). Visualization involves selecting charts (bar graphs, heatmaps) and interactive elements like drill-downs or filters. Power BI's AI-driven features, such as Quick Insights, automate trend detection, while custom visuals and themes enhance storytelling. Emphasis is placed on creating mobile-optimized reports and ensuring cross-device consistency.
Power Query simplifies data preparation by enabling users to merge datasets, remove duplicates, and standardize formats. Key steps include:
This process ensures data accuracy and readiness for modeling, reducing manual effort by up to 70% in complex workflows.
Power BI's drag-and-drop interface allows users to design dashboards with real-time updates and cross-filtering. For example, a sales dashboard might combine maps (geographic trends), line charts (revenue over time), and slicers (product filters). Advanced features include:
Dashboards can be published to Power BI Service for team collaboration or embedded into apps/websites.
To maximize Power BI's potential, users must:
These skills empower users to translate raw data into strategic actions, from inventory optimization to customer segmentation.