Accommodation Stay Analysis with Power BI

Project Structure Recommendation:

1. Data Sources:

• Utilize a database or data warehouse to store accommodation stay records.
• Collect data on individual IDs, check-in dates, check-out dates, and accommodation details.
• Ensure the data is clean, consistent, and updated regularly.

2. Data Modeling:

• Create a star schema with a fact table for accommodation stays and dimension tables for individuals and time.
• Use Power Query Editor in Power BI to shape and transform the data for reporting.

3. Report Design:

• Develop visuals to show the number of days individuals stayed in accommodations per month.
• Include filters for users to specify individual IDs or time periods.
• Utilize DAX measures to calculate the duration of stays and aggregate data accurately.

4. Data Processing:

• Implement scheduled data refreshes to keep the report up-to-date.
• Optimize queries and data loading to enhance report performance.

5. Visualization:

• Use appropriate visuals like bar charts or line charts to display stay durations.
• Add tooltips and slicers for interactivity and data exploration.

Conclusion:

By following these steps, you can create an insightful Power BI report that effectively analyzes the days individuals stayed within accommodations per month. Ensure to maintain data integrity, optimize performance, and prioritize user-friendly visualization for a successful project outcome.