AmbassadorT. Scott ClendanielChief AI Learning Officer, Analytics-EdgeUnited StatesVerified Community AmbassadorJoin / Sign In to ConnectIdentified ExpertiseData & Analytics4AI & Machine Learning0Data Science & Algorithms0Content T. Scott is FollowingHow does your organization decide which Data Science projects to pursue immediately, out of many proposed projects? Have you developed any particular decision framework for prioritization of Data Science projects?Data & AnalyticsT. Scott ClendanielChief AI Learning Officer, Analytics-Edge in Services (non-Government)2 years agoThis is a great question!My basic approach to prioritization goes something like this:- "Low-hanging fruit projects," meaning projects with lower required levels of effort and highest returns go first.- ...read moreLightbulb on3 circle icon1 ReplyLightbulb offUpvotereply-iconCommentRead More Comments2.3k viewscircle iconLightbulb on24 Upvotescircle icon14 CommentsLightbulb offUpvoteConversationCommentSaveSaveShareShare
My basic approach to prioritization goes something like this:
- "Low-hanging fruit projects," meaning projects with lower required levels of effort and highest returns go first.
- ...read more