Are there guiding principles available on when to use rule based decisioning and when to use model based decisioning? My understanding is that when the eligibility criteria is pretty clear rule based will work fine, model based decisioning is recommended when analytics/learning on customer behaviors are to be used.
Rules (like decision table, proposition filter etc.) you use indeed to implement business rules (concrete requirements ). Models (adaptive, predictive) you typically use to predict customer behaviour. The likelihood people accepting a given offer. The likelihood of clicking on a banner etc.