The BIG project the data might make possible, depending on the sophistication of network estimation techniques (of which I am incredibly ignorant), is the following:
Define a player based on a set of scores over a vector of key attributes/abilities (handle, halfcourt creation, transition defense, rim protection, on-ball defense, etc., etc.). Ideally, a reasonable number of attributes/abilities would account for the variation in player value (say 6-12). After defining individual players, test how well various 5-man combinations (defined by the joint distribution of the 5 players' attributes) perform against various 5-man combinations.
The goal here is to measure a player's context-specific value (the previous post was trying to get at a player's context-neutral value). In so doing, front offices, fans, etc. can get a better idea of what players would best complement the current talent on the roster and help to make cost/benefit decisions, given the available free agents (own team and other team), trade opportunities and the makeup of opposing teams.