Analytics for Decision Support

Understand organizational decision-making characteristics and the roles of analytics and decision support systems to enhance and optimize outcomes. Through hands-on practice, be able to lead/collaborate to implement a data analytics project to support organizational goals and measure its effectiveness. Design and deliver effective presentation/visualization of analysis results. Build predictive and descriptive analytical models for industry applications/problems. Be able to take a role in the planning of a data analytics platform to fit into existing organizational data management infrastructure. Develop a strategy for model building and deployment of such models into operational work processes for a selected industry application area. Design experiments (in a decision-making context), analyze findings, and recommend adjustments to operational/strategic processes in a given application area. Present, in a coherent fashion, a definition of the question being addressed, past research into problem area, methodology, and the results of problem analysis.