BayesFusion refers to our desire to combine the highly successful Bayesian framework with existing methods for modeling, such as simultaneous structural equation models, and data analysis, such as a variety of statistical and data mining tools into a comprehensive, hybrid framework that solves practical problems. Such framework is based on the sound foundations of Bayesian probability theory but does not replace time-tested engineering and economic methods, being at the heart of most solutions used at present. The result of this approach is a highly versatile, efficient, and precise framework that gives solid foundation to the best possible solutions of hard problems.