What's included

• Data Extraction, Transformation and Loading

  Extracting, cleaning, and combining data from various sources, such as Excel, SQL databases, cloud services, and other APIs, into Power BI for a unified view. Ensuring data is clean, accurate, and ready for analysis.

• Data Modeling

  Creating data models that establish relationships between different data sets. Implementing calculated columns and measures using DAX (Data Analysis Expressions) to enhance data analysis capabilities.

• Interactivity and Usability

  Adding interactive elements such as slicers, filters, and drill-through functionalities to allow users to explore data dynamically. Ensure the dashboard is user-friendly and accessible to stakeholders with varying levels of technical expertise.

• Performance Optimization

  Ensuring dashboards perform efficiently by optimizing data queries and models. Implementing best practices for data visualization and dashboard design to improve load times and user experience.

• Deployment and Sharing

  Publishing the dashboard to the Power BI Service for online access and sharing. Setting up workspaces and sharing permissions to control who can view and interact with the dashboard. Configuring scheduled data refreshes to keep the dashboard up-to-date.