PPT-Making Data Less Daunting

Using Data Refinement Tools to Improve User Experience Michael J DeMars SystemsInstruction Jaclyn Bedoya Electronic Resources California State University Fullerton Outline Analysis amp refinement. can seem daunting. 3ortunately, the online Vehicle Buyer’s Guide www.ccities.doe.gov/vlg/fleets. Ohe U.S. ,epartment of Energy’s Clean Cities Program produces the Guide and continuo S. C. I. EN. C. E. , . ART. . &. . TECHNOLOGY. Dr. Frank Gossette Adjunct Professor University of California, Riverside - Extension. Cartography is the discipline dealing with the conception, production, dissemination and study of maps . Matthew Rosencrans. Tom . DiLiberto. Outline . We’ve made the analysis, how do we present it?. Map Making. What is a map?. Why do we need a map?. Examples: From the good … to the bad. QGIS Map Making. Efficacy, Excellence and Enablement. Who Would Like a Prize?. Efficacy. How to Know if an Intervention is Worth Trying – or Not. Efficacy…... A research term that describes the . ability . of a product or methodology to . . 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. I can use words I learn from a text.. Tell your partner about a new word you learned last week.. craggy. rough, rugged. craggy. Which of these are . craggy. ?. colossal. Colossal. . Something massive in size. 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 . Megan . Vinh. , PhD. Lise. Fox, PhD. 2016 National Inclusion Institute. May 12, 2016. Who’s in the room?. Who is your role?. What areas do you work in?. Welcome. Agenda. Key concepts for data-based decision-making, including:. Lise Fox. Betsy Sutherland. Megan Vinh. 1. Agenda. Introductions. Data-based decision making basics. Overview of RP. 2. Utah’s implementation of data-based decision making practices. Discussion. 2. Megan . Vinh. , PhD. Lise. Fox, PhD. 2016 National Inclusion Institute. May 12, 2016. Who’s in the room?. Who is your role?. What areas do you work in?. Welcome. Agenda. Key concepts for data-based decision-making, including:. 13 November 2018 2. Next, complete your C-WOW house in your notebook for the word daunting . 3. When you finish, read silently . VOICE LEVEL = ZERO Copy down your agenda for the WHOLE WEEK 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 . Tony Sulpizio. Summary. About Me. Who is an authentic leader?. What drives decisions?. When does Change take place?. Where can data analytics help?. Why is this important?. . How . does this all work?.