The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.
What is the purpose of adding ‘Control’ to our list of tasks? One major reason lies in the tendency of processes to lapse back into previous and undesirable behaviors. Our ‘Improve’ phase options may make for better software or better software development, but it is entirely possible that the new approach hasn’t taken root with our developers. By adding some reasonable measures to control regression to the past, we can help see to it that our new approach has a chance to become institutionalized in our organizations, be they large or small or somewhere in between.