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Creating Interactive Reports and Dashboards

Lesson 26/44 | Study Time: 15 Min

Creating interactive reports and dashboards in Power BI involves designing compelling, user-friendly data presentations that allow users to explore and analyze information dynamically.

Interactive reports enhance engagement by enabling viewers to filter, drill down, slice, and pivot data based on their specific interests, making insights more accessible and actionable.

Dashboards aggregate this interactivity into concise, visual summaries across multiple reports or datasets, providing real-time monitoring of key metrics and trends critical for informed decision-making.

To build effective interactive reports and dashboards, careful planning of data models, thoughtful selection of visuals, and strategic use of Power BI’s features such as slicers, drill-throughs, bookmarks, and dynamic tooltips are essential.

Designing with the audience in mind ensures that complexity is balanced with usability—executives might prefer high-level summaries with simple interactions, while analysts benefit from detailed filters and cross-visual highlighting.

Performance optimization and clear visual hierarchy maintain responsiveness and clarity as users navigate the data story.

Steps to Creating Interactive Reports

Interactive report creation follows a logical workflow from data connection to final usability validation. The following steps explain how to build reports that are dynamic, intuitive, and impactful.


1. Connect and Prepare Data: Ensure clean, well-structured data with optimized relationships and calculated measures.

2. Select Appropriate Visuals: Use charts and visuals that best represent the data (bar, line, pie, matrix, maps). Avoid clutter.

3. Add Interactivity:


Use Slicers and Filters to allow dynamic data selection.

Enable Drill-Down/Up for exploring data hierarchies.

Implement Cross-Filtering between visuals for linked interactions.

Use Bookmarks & Buttons to create guided navigation and toggle views.


4. Dynamic Titles and Tooltips: Use DAX to create titles and tooltips that change based on filter context to improve clarity.

5. Personalize Visual Formatting: Customize colors, fonts, and layouts consistent with branding; ensure visual contrast and readability.

6. Test User Experience: Validate usability across devices and user skill levels; refine interactions and layout for simplicity.

Designing Effective Dashboards

Understanding effective dashboard design is essential for delivering meaningful business insights. The main points below describe how to create dashboards that are focused, accessible, and scalable.


1. Focus on Key Metrics: Prioritize KPIs and critical data points; limit visuals to maintain focus.

2. Organize Layout Logically: Group related visuals, place summary cards on top, and align for visual flow.

3. Use Consistent Color Palette: Use color to highlight insights, categorize data, and maintain accessibility.

4. Real-Time Data Refresh: Configure data gateways and refresh schedules to keep dashboards current.

5. Optimize for Performance: Limit excessive visuals, reduce dataset size, and optimize DAX calculations.

6. Enable Sharing and Collaboration: Use Power BI Service workspaces for collaborative development and sharing.

7. Mobile Optimization: Design for responsiveness; test on mobile apps for executive on-the-go access.

Ryan Cole

Ryan Cole

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Class Sessions

1- Overview of Business Intelligence Concepts 2- Power BI Ecosystem and Components 3- Understanding Power BI Desktop, Service, and Mobile App 4- Data-Driven Decision Making Fundamentals 5- Connecting to Data Sources (SQL, Excel, Cloud, APIs) 6- Data Import vs Direct Query 7- Power Query Editor Basics and Advanced Transformations 8- Data Cleaning, Shaping, and Formatting 9- Creating Query Parameters and Templates 10- Principles of Data Modeling in Power BI 11- Star Schema and Snowflake Schema Concepts 12- Creating and Managing Relationships Between Tables 13- Calculated Columns vs Measures 14- Role of Lookup and Fact Tables in BI 15- DAX Fundamentals and Syntax 16- Calculated Columns and Measures in Depth 17- Aggregation and Filter Functions 18- Time Intelligence Calculations (YTD, MTD, QTD, etc.) 19- Context in DAX: Row Context and Filter Context 20- Using Variables and Advanced Calculation Techniques 21- Dynamic Calculations and What-If Analysis 22- Hierarchies and Drill-Down Techniques 23- Working with Parent-Child and Many-to-Many Relationships 24- Optimizing DAX for Performance 25- Principles of Effective Data Visualization 26- Creating Interactive Reports and Dashboards 27- Choosing the Right Visuals (Charts, KPIs, Maps, Tables) 28- Using Bookmarks, Tooltips, and Drillthroughs 29- Applying Conditional Formatting and Visual Level Filters 30- Publishing Reports to Power BI Service 31- Workspaces and Apps in Power BI 32- Sharing and Collaborating Securely with Row-Level Security (RLS) 33- Scheduled Refresh and Data Gateway Configuration 34- Usage Metrics and Report Usage Monitoring 35- Real-Time Data Streaming and Dashboards 36- Integration with Azure Synapse and Cognitive Services 37- AI Features in Power BI: Insights, Q&A, and Anomaly Detection 38- Using Power Automate with Power BI for Workflow Automation 39- Implementing Predictive Analytics and Forecasting 40- Best Practices for Data Model Optimization 41- Query Reduction and Load Optimization Techniques 42- Troubleshooting Common Power BI Issues 43- Monitoring Performance with Performance Analyzer 44- Governance and Compliance Considerations in Power BI