One of the selling points of Jet Enterprise / TimeXtender is how easy it is to create cubes that allow you to quickly and flexibly analyze data that rolls up by hierarchies (think [Sales] rolled up by [Date YQMD] or by [Customer] > [State] > [Region].
Traditional Business Intelligence developers and SQL DBAs know and recognize this as 'User-Defined Hierarchies' traditionally implemented in Visual Studio or SQL Data Tools. Furthermore, your developer probably knows a handful of ways to optimize SSAS performance which can / should be duplicated in Jet Enterprise.
This tutorial shows how to analyze your cube for user-hierarchy optimization opportunities and then how to implement them in JDM via attribute relations.
For an in-depth introduction to attribute relations in SSAS multidimensional, check out, MS SQL Tips.