How does Lokad weigh the tangible benefits of refining probabilistic models (better forecasts) versus crafting decision systems that maximize financial and operational outcomes (better optimization)?

Does Lokad often recommend policy changes to a client company's process to better support data quality and sharing, and if so, how were you successful?