The best approach to meet the customer's requirements is to follow the DAR methodology: Dashboard, Analysis, Report. The dashboard provides an overview of the most important numbers, which gives a high-level summary that users typically want to see first. The analysis sheet follows, enabling more detailed examination and interpretation of the data. Finally, the report sheet is used for row-level transaction details, allowing users to drill down into the most granular data if they need to. This ordering ensures a logical flow from summary insights to detailed data analysis.
A map would be the most appropriate visualization for showing the number of employees by city along with their total compensation. It provides a geographical context which can be very useful for board members to quickly identify regions with more employees and higher compensation, facilitating a clear and intuitive understanding.
To effectively represent key metrics on a Qlik Sense app dashboard, it is ideal to choose high-level summary measures that provide a clear overview of the organization's performance. The number of customers provides a straightforward metric for customer base size, which is a crucial performance indicator. Similarly, the number of products sold gives insight into sales volume, another critical measure of business success. Both measures are concise and directly reflect the organization's performance, making them suitable for KPI objects on a dashboard.
To analyze customer travel patterns, including the start and end locations of routes, the best visualization is a line layer map. This type of map can effectively display the connections between different points (start and end locations) on a map, allowing for a clear visualization of routes across the city. It can also accommodate the volume of customers traveling per hour and visually represent congestion or areas where customer complaints occur due to full buses.
A business analyst modifying a published app in Qlik Sense Enterprise can duplicate sheets to edit visualizations or create new sheets and visualizations. These actions allow for quick adjustments or additions to the visual content without needing to republish the entire app or modify its underlying data structure. Adding data to the application is not feasible in a published app, and while creating and editing master items or creating variables can be useful, they do not directly address the need to quickly adjust and create new visualizations.