The Resource Planning Dashboard provides a consolidated view of resource usage across multiple selected projects. It utilizes the same labor and equipment usage modules available within each individual project, but instead of displaying data for a single project, it aggregates resource usage across several projects. This feature allows users to gain insights into overall resource allocation and optimize usage.
Users can create multiple reports, including or excluding projects as needed. This flexibility allows for effective resource tracking and analysis, ensuring that the most relevant data is always available. Each report can be generated and saved to focus on specific project resources.
Key Components of Resource Planning Dashboard
Right Dropdown: From here users can view projects within a report and easily include or exclude specific projects as needed.
Left Dropdown: Users can view all saved reports, save incremental changes, and add, rename, duplicate, or delete reports.
Visualization of Usage Over Time: The visual representation typically displays data over a specific period, such as weeks, months, or years. In the example provided, usage is tracked on a weekly basis across multiple years. Each bar in the graph represents the cumulative usage hours for a specific category of equipment or labor over time.
Stacked Bar Chart: A stacked bar chart is used to display the usage of different types of equipment simultaneously. Each segment of the bar corresponds to a particular type of equipment, with the total height of the bar representing the combined usage. This type of chart is useful for comparing the total usage across different periods while still seeing the contribution of each individual equipment type.
Tabular Data: Below the chart, a table provides detailed numerical data corresponding to the visualized data. This table includes equipment types, specific dates (e.g., "JAN 24," "FEB 24"), and total usage. The table can be especially useful for extracting specific data points, such as the exact number of hours an equipment was used in a particular week. Users can select or deselect specific equipment types from here to focus on the data that is most relevant to their needs.
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