In 2016 I conducted a survey at the INFORMS Analytics conference in Orlando on the organization of analytics groups, and on the potential impact of current trends in the analytics landscape. ORMS Today included the summary of the results and the editor Peter Horner, added the title, “O.R. and Data Science: a Complicated Relationship,” which encapsulates a longstanding challenge that is not going away.
Advanced analytics practitioners and business executives are always striving to understand the nature of the problems facing them, so they can hire and manage talent and develop the best solutions. Seems straightforward enough, but technologies, methodologies and terminologies are evolving.
The same professional can have a job title that includes either Operations Research (O.R.), Analytics, or Data Science. Conversely, these labels at times represent three very different communities.