Matching Pattern-Discovery Models to Business Use Cases

Our sole purpose as data scientists is to create value from data. More specific to machine learning (ML), we use algorithms to learn from data so that we can recognize patterns and use them to build generalizable models that ultimately benefit the top or bottom lines. That benefit--or value--is defined by the need that is driving our work. If working for a biotech company, that need might be to discover a new treatment. In marketing, value might come from a model that attributes revenue-generation to specific marketing programs.