PPT-Data-Driven IV&V Decision Support

NASA IVampV Software Assurance Tools SWAT Outline What is Decision Support Data Availability OnDemand Linked Warehouse Data Presentation Analysis Reporting and Metrics Related IVampV Efforts. Rev: . Feb, 2012. Euiho. (David) . Suh. , Ph.D.. POSTECH Strategic Management of Information and Technology Laboratory. (POSMIT: http://posmit.postech.ac.kr). Dept. of Industrial & Management Engineering. Dwaine M Souveny. Central Alberta Regional Consortium. 2010-2011. D.M. Souveny Data Driven Decision Making. Supporting Positive Behaviour in Alberta Schools. Introduction. Information, Decisions, and Management. Decision Support Technologies. OLAP and DSS. DSS Applications in Corporate Functional Management. Practitioners of Management Science. Achieving Success with Analytics. . 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 . Recap previous lesson. Define a decision support system. List the three classifications of a decision support system and give an example of each. Structured situation. Semi-structured situation. Unstructured situation. Intelligent techniques for enhancing decision making. Many based on a. rtificial intelligence (AI). C. omputer-based systems (hardware and software) that attempt to emulate human behavior and thought patterns. Special Topic. TPS. PCS. ECS. DSS. MIS. EIS. Review: Types of Information Systems. What type of IS . is. . WebEX. ?. Blackboard?. iTunes?. Web for Students. MapInfo. Excel. Examples. Help Transform . 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 . 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. Frontiers of Data Science for Government. University of Cambridge. September 15, 2016 . Richard R. Lee, IMECS, (E: richard.lee@infomgmtexec.com), (T): InfoMgmtExec. 1. Abstract. : . The . notion of Data-driven Policy making and its associated Governance, is often challenged by the fact that the vast majority of Politicians, Civil Servants, Champions of Industry & Non-Profit Leaders are basically illiterate in the domains of data, analytics & decision science. Most of these leaders have come up through their careers making decisions based on gut instinct (experience), group think (consensus) or by using a modicum of summary data & visual analysis, but few have either a base in decision science or statistics, much less have bootstrapped themselves along their careers to become Data & Analytics Literate. . 1. Decision Making. Information is used to make decisions. Decision making is not a single activity that takes place all at one. . The process consists of several different activities that take place at different times. . GEOM 4008 - November 2, 2015. Group 2 : Fernanda . Amaral. , Eric Purdie, Carina Saab, . Nahom. . Seyoum. , . Uzayr. Siddiqui. What are Decision Support Systems (DSS)?. computer based information systems that gather and present data in order to assist and support businesses and organizations in the decision-making . Chapter 1 Decision Support and Business Intelligence. Organization works in a dynamic environment. . . change continuously & rapidly. more & more complex. . Aniket. . Bochare. - . aniketb1@umbc.edu. CMSC 601 - Presentation. . Date-04/25/2011. Agenda. Introduction and Background. Framework. Heterogeneous Data . Data Integration Model. Problems Involved and Solution.