PPT-Data Driven Decision Making(DDDM) for Business, Education, and Consumers:

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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

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Data Driven Decision Making(DDDM) for Business, Education, and Consumers:: Transcript

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 dataprocessing technologies including those for . Dwaine M Souveny. Central Alberta Regional Consortium. 2010-2011. D.M. Souveny Data Driven Decision Making. Supporting Positive Behaviour in Alberta Schools. 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 . . Eighth edition. Chapter 1. Ethics in the World of Business. . Copyright © 2017, 2012, 2009 Pearson Education, Inc. All Rights Reserved. Modules. Introduction: Ethics in the World of Business. 1.1. CHAPTER OUTLINE. 12.1. Managers and Decision Making. 12.2. What Is Business Intelligence?. 12.3. Business Intelligence Applications for Data Analysis. 12.4. Business Intelligence Applications for Presenting Results. Lesson 4.2. Discover What People Want. TWO LESSON GOALS. Explain the importance of understanding buyer behavior when making marketing decisions.. List and describe means of collecting marketing information for use in decision making.. 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 . Ninth . Edition. Chapter. . 6. Understand Consumer and Business . Markets. Copyright © 2018, 2016, 2012 Pearson Education, Inc. All Rights Reserved. .. Learning Objectives . (1 of 2). 6.1. Define . 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. ’. Data Driven Decision Making. 3. D. M. Date: August 3, 2017. Hosted By: Edison Electric Institute. Improving Resiliency w/Better Data. Safety Message. 8/1/2017. Data Driven Decision Making Workshop - 3DM 8-3-2017. THE STATE OF DECISION-MAKINGUK146s corporate decision-makersThat being said the world146s corporate decision-makers have never faced a more challenging time than the one we146re living through right n 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 . NASA IV&V Software Assurance Tools (SWAT). Outline. What is Decision Support?. Data Availability (On-Demand, Linked, Warehouse). Data Presentation. Analysis, Reporting and Metrics. Related IV&V Efforts.

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