PPT-CXO DASHBOARDS ENABLING DATA-DRIVEN DECISION-MAKING

INTRODUCTION PURPOSE As part of the Agency Priority Goals APG CXO Dashboards will enable USDA leaders with instant access to key administrative data to enable datadriven decisions FY18 DASHBOARD CONCEPT. Sarah Lennon. Inclusion Ireland. Overview. The current situation in Ireland. Context for Change. Typical Case Studies. The Future. Currently in Ireland. Status Approach to Capacity. Decision that someone ‘lacks capacity’. 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. Paul Kelsey. Senior Assurance Manager. BDO. Objectives. Consider frequent weaknesses in traditional reporting. Define dashboard. Discuss the benefits and challenges of dashboards. . Outline key features of effective dashboards and considerations for getting started. Introduction. Importance of presentation capability of BI. Technologies that support decision making. Tactical decisions. Strategic decisions. Online analytical processing (OLAP) . Visual analytics. Performance dashboards. Dwaine M Souveny. Central Alberta Regional Consortium. 2010-2011. D.M. Souveny Data Driven Decision Making. Supporting Positive Behaviour in Alberta Schools. 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. Dr. . Y. İlker TOPCU. www.ilkertopcu.. net. . www.. ilkertopcu. .org. . www.. ilkertopcu. .. info. facebook.com/. yitopcu. . twitter.com/. yitopcu. instagram.com/. yitopcu. Dr. Özgür KABAK. 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 . Improving Decision Intelligence for Faster, Smarter Execution. Joseph Bradley. Chief Economic Officer. Cisco Internet Business Solutions Group . Life is the sum of all your choices.. — Albert Camus. Bringing evidence to bear on negotiating ecosystem service and livelihood trade-offs in sustainable agricultural intensification (SAI) in Tanzania, Ethiopia and Zambia as part of the SAIRLA program. Prepared by . 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. . 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.