PDF-Data Science for Decision Making in Developing Economies:

Author : stefany-barnette | Published Date : 2016-08-15

A Travesty of Business Investments Arindam Banerjee WP No 2 014 12 07 December 2014 The main objective of the working paper series of the IIMA is to help faculty

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Data Science for Decision Making in Developing Economies:: Transcript

A Travesty of Business Investments Arindam Banerjee WP No 2 014 12 07 December 2014 The main objective of the working paper series of the IIMA is to help faculty members research staff and. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. How does the Government make . d. ecisions?. Tom . Worsley. Visiting Fellow. 15. th. April. The Question. Are the decisions made by Government;. Transparent?. Logical?. Consistent?. Accountable?. Dr. Jay Liebowitz. . Distinguished. Chair of . Applied Business and Finance. Harrisburg University of Science and Technology. jliebowitz@harrisburgu.edu. March. 10, 2017. 1. BI/Analytics Conceptual Framework . . Subtitle: . From A Lunch Napkin to Predictive Analytics. Barbara J. Burkett, Ph.D., M.S.P.H.. Objectives of This Presentation. Review History of Data Use in Government Settings Using The Swine Flu . Dr. Jay Liebowitz. . Distinguished. Chair of . Applied Business and Finance. Harrisburg University of Science and Technology. jliebowitz@harrisburgu.edu. March. 10, 2017. 1. BI/Analytics Conceptual Framework . SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. Improving Decision Intelligence for Faster, Smarter Execution. Joseph Bradley. Chief Economic Officer. Cisco Internet Business Solutions Group . Life is the sum of all your choices.. — Albert Camus. Decision Support Systems . For Business Intelligence. Figure 2.1: Nature of Decision Making. Figure 2.2: Forms of Rationality. Figure 2.3: Causes of Satisficing Behavior. Figure 2.4: Perception is . VIDEO CASES. Video Case 1: FreshDirect Uses Business Intelligence to Manage Its Online Grocery . Video Case 2: Business Intelligence Helps the Cincinnati Zoo. Instructional Video 1: FreshDirect. ’. DDDM. “The practice of basing decisions on the analysis of data rather than purely on intuition.” Equally succinctly, data science “as the connective tissue between data-processing technologies (including those for . Unstructured. : Decision maker must provide judgment, evaluation, and insight to solve . problem. Structured. : Repetitive and routine; involve definite procedure for handling so they do not have to be treated each time as . http://. youtu.be/uoXuapqVDyo. Purposes of Goal-Setting. Increases the desire to achieve. Increases efficiency and effectiveness by specifying desired outcomes. Guide and direct behaviors. Provide clarity. It is used in a variety of organizations to solve many different types of problems . It encompasses a logical mathematical approach to problem solving. Mathematical tools have been used for thousands of years. PLANNING: . Steps, Importance, Components. CO ORDINATION: . Importance. MANAGEMENT BY OBJECTIVES: . Advantages, MBE. MANAGEMENT INFORMATION SYSTEM: . Concept, Components. DECISION MAKING: . Techniques, Essentials, Impact Of Technology On Decision Making. .

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