PDF-3 /MCI; 0 ;/MCI; 0 ;Data-Driven Decision-MakingWe will
Author : tatyana-admore | Published Date : 2016-08-27
Continuous ImprovementAs we didin FY 2P1TL we will continue to developways improve processesreduce taxpayer burden and capture opportunities to eliminate wasteLast
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3 /MCI; 0 ;/MCI; 0 ;Data-Driven Decision-MakingWe will: Transcript
Continuous ImprovementAs we didin FY 2P1TL we will continue to developways improve processesreduce taxpayer burden and capture opportunities to eliminate wasteLast yearwe used the Lean Six Sigma . GLEN BISSETT. 2. 2014. Data driven professional scepticism. Outline. What is professional scepticism. ?. What is data. ?. How can one drive the other. ?. How does IDEA help?. What is professional scepticism?. Dwaine M Souveny. Central Alberta Regional Consortium. 2010-2011. D.M. Souveny Data Driven Decision Making. Supporting Positive Behaviour in Alberta Schools. in. Dashboard Design & Use. Dashboard. April 6, 2016. Phone lines are muted to minimize background noise. .. 1. Webinar . Agenda. Welcome. Introduction . to Webinar . Series. Dashboards. Discussion . 27 June, 2016. WEF Annual Meeting of the New Champions. PwC’s 2016 Global Data . and . Analytics Survey. Big Decisions. TM. Why. Strategic decisions create value for an organisation. . Decision-makers are now face-to-face with an opportunity to learn from massive amounts of data. . . 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 . By Ron Grimes:. Special Assistant to the Assistant Superintendent. Office of Career and Technical Accountability & Support. What is “data disaggregation” and why should we use it?. Simple definition: . 27 June, 2016. WEF Annual Meeting of the New Champions. PwC’s 2016 Global Data . and . Analytics Survey. Big Decisions. TM. Why. Strategic decisions create value for an organisation. . Decision-makers are now face-to-face with an opportunity to learn from massive amounts of data. . 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. . It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. Dave Einolf, Managing Director, Endeavour EHS. Nick Ashley, Ph.D., P.E. Global Director, Process Safety, W. R. Grace & Co.. Lu Menghini, CPSA, Senior Audit Manager, Operations, Internal Audit, bp. 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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