PPT-Data Driven Decision Making Workshop

Data Driven Decision Making 3 D M Date August 3 2017 Hosted By Edison Electric Institute Improving Resiliency wBetter Data Safety Message 812017 Data Driven Decision Making Workshop 3DM 832017. Creativity, and Entrepreneurship. chapter seven. McGraw-Hill/Irwin. Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.. Learning Objectives. Understand the nature of managerial decision making, differentiate . Creativity, and Entrepreneurship. chapter seven. McGraw-Hill/Irwin. Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.. Learning Objectives. Understand the nature of managerial decision making, differentiate . 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. © John Wiley & Sons Canada, Ltd.. Business Leadership: Management Fundamentals. John R. . Schermerhorn. , Jr. ., . Barry Wright, and Lorie Guest. Data. Raw facts and observations. Information. Data made useful for decision-making. Chapter 1. Introduction . to Managerial Decision Making. Copyright 2013 John Wiley & Sons. The Anatomy of Decisions. Judgments involve cognition.. Common decision situations:. How to select a post-MBA job?. © John Wiley & Sons Canada, Ltd.. Business Leadership: Management Fundamentals. John R. . Schermerhorn. , Jr. ., . Barry Wright, and Lorie Guest. Understand the role of . information in . the management process. Cognitive Neuroscience. David Eagleman. Jonathan . Downar. Chapter Outline. How Do We Decide What to Do?. The Predictably Irrational . Homo sapiens. Where Do Our Irrational Decisions Come From?. How the Brain Decides. Karl A. Smith. Engineering Education – Purdue University. Technological Leadership Institute/ STEM . Education Center/ Civil . Engineering . - University of Minnesota. ksmith@umn.edu - http. ://www.ce.umn.edu/~smith. . 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 . 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. 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 . Driven Well Construction Features Assembled lengths of two inches to three inches diameter metal pipes are driven into the ground A screened well point located at the end of the pipe helps drive the 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. . 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.