Power BI - Dashboard Development

1. Understand Business Objectives
    Collaborate with stakeholders to define the purpose of the dashboard.
    Identify key performance indicators (KPIs) and metrics relevant to business goals.

2. Stakeholder Alignment
    Collaborate with stakeholders to gather functional and technical requirements.
    Document user roles and access levels.

3. Data Assessment and Integration Planning
    Identify data sources and Determine connectivity options and data transformation needs.

1. Data Extraction and Cleaning
    Extract data from identified sources.
    Clean, standardize, and transform data for accuracy and consistency.

2. Data Modeling
    Develop a robust data model using Power BI’s data modeling tools.
    Design relationships between tables for efficient querying and analysis.

1. Wireframing and Prototyping
    Design mockups of the dashboard layout and visualizations using tools like Figma or PowerPoint.
    Gather feedback from stakeholders to ensure alignment with expectations.

2. Develop Visualizations
    Create visuals and include slicers and filters for dynamic data exploration , Ensure visual consistency and clarity by following design best practices.

3. Interactivity and User Experience
    Add features and tooltips for enhanced interactivity.
    Optimize dashboards for responsiveness on multiple devices.

4. Performance Optimization
    Optimize queries and data models for speed and efficiency.
    Reduce load times by using Power BI’s aggregations and incremental refresh features.

1. Functional Testing
    Verify that all visuals, filters, and interactions function as expected.
    Validate data accuracy by comparing dashboard metrics with source systems.

2. Performance Testing
    Test the dashboard’s loading time and responsiveness under different user loads.
    Optimize queries and data models to improve performance.

3. User Acceptance Testing (UAT)
    Conduct testing sessions with a sample group of end-users.
    Gather feedback on usability and make necessary adjustments.

1. Dashboard Publishing
    Publish the dashboard to Power BI Service, Power BI Report Server, or embed it in business applications.
    Set up workspace permissions for secure access based on user roles.

2. Soft Launch
    Roll out the dashboard to a limited group for monitoring performance and gathering feedback.

3. Full Deployment
    Deploy the dashboard to the intended audience.
    Integrate with existing workflows and systems for seamless adoption.

1. Monitor Usage and Performance
    Track metrics like usage frequency, response times, and data refresh success.
    Use Power BI’s usage analytics to gather insights on dashboard adoption.

2. Regular Updates
    Update data models and visuals based on evolving business needs.
    Add new features or integrate additional data sources as required.

3. Maintenance
    Provide ongoing support to resolve bugs or issues.
    Ensure compatibility with updated Power BI versions and third-party tools.

1. User Training
   Provide training sessions for end-users to maximize dashboard utility.
   Provide documentation to guide users on interacting with the dashboard.

2. Change Management
   Communicate changes or new features effectively to all users.
   Address resistance by showcasing the dashboard’s benefits through case studies or success stories.

3. Support and Maintenance
    Offer ongoing technical support to resolve issues promptly and Plan regular maintenance cycles for updates and performance tuning.