Here's a general outline of the steps to create a DeepSee dashboard, starting from data that is somewhere on your system but not yet in a DeepSee cube:
- Get the data you want to use into a persistent class, referred to as your source class. Depending on what you are doing with the data that comes in via your REST service, you may already have such a class, or you may need to create one and store a copy of your data there after it comes in.
- Use the DeepSee Architect to define a cube based on your source class. This will allow you to specify which properties of your source class you want available for use in pivots and dashboards. You can then compile and build your cube, which will create a fact table (and several other tables) to store an indexed copy of the data you have specified. There is documentation on defining cube models here.
- Use the DeepSee Analyzer to create one or more pivot tables that display data from your cube. There is documentation on creating pivot tables here.
- In the DeepSee User Portal, create a new dashboard and add one or more widgets to it. For each widget, specify a pivot table as its data source, and then customize the widget to display a table or chart, adding any filters or other controls that you want to give users access to. There is documentation on creating dashboards here. (It sounds like you may already be familiar with this step, once you've created a pivot, but I'm including it for completeness.)
For some of these steps, there are alternative options to the ones I've mentioned here, but these are the most common options and I would recommend using them to start out (and really whenever possible). Please let me know if you're having problems with the specifics of some part of this.