Our firm takes data-driven insights and models and brings them to the field as applications. There may be dozens or hundreds of users spread over multiple locations and working in different shifts or in different jobs, with different things to solve. Over the years we have overcome many challenges to deploying optimization and we have systematized the problems, dilemmas and mitigation techniques.
We employ a framework of 20 scorable risk factors, the “Princeton 20,” to manage our optimization projects for deployment into production. There are 10 environmental and 10 technical factors. In this post, I will address the environmental, or business, risks. In a later post, I will address the technical risks.