The idea of workload charts is to give an overview of the tasks at hand. While the M-Files Client always displays the “assigned to me” tasks and content on the home page, this is always the user's perspective on the workload. It shows what is waiting for you as the currently logged in user. To see other aspects, such as the workload of your colleagues, differentiation by time, object class or urgency/priority, you need to click into different views, aggregate and sort a bit. That's where workload charts and 'View Smart Nodes' offer a whole new level of clarity.
Let's face it, for looking at the workload of an employee, a department or a specific process, most of the time you are looking at smaller sets of objects or documents. We are talking about quantities that run into the hundreds, at most into the thousands of objects. M-Files can excellently handle this number of objects in its queries.
The client-server nature of M-Files with its caching capabilities is perfect for processing the metadata and objects quickly and efficiently. For this reason, it is also possible to further process the queries graphically in the client, either as a bar, pie or line chart or as an aggregated hit list with icons that can be accessed directly with the mouse.
But even here the possibilities do not stop. Thanks to the Smart Nodes for Dashboarding you are able to quickly and efficiently display the data of a single M-Files view in multiple display formats. To do this, you link an M-Files view to just a single root Smart Node, which then passes the resulting data to any number of Smart Nodes. With the combination of both Smart Nodes for Views and Smart Nodes for Charting, you get a powerful tool that gives your users deep insight into your chosen data set.
Take a look at the following articles to learn more about the integral parts of Workload Charts: