PPT-You can't have Data-driven Policy if your Leaders are Analytics Illiterate

Frontiers of Data Science for Government University of Cambridge September 15 2016 Richard R Lee IMECS E richardleeinfomgmtexeccom T InfoMgmtExec 1 Abstract The notion of Datadriven Policy making and its associated Governance is often challenged by the fact that the vast majority of Politicians Civil Servants Champions of Industry amp NonProfit Leaders are basically illiterate in the domains of data analytics amp 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 amp visual analysis but few have either a base in decision science or statistics much less have bootstrapped themselves along their careers to become Data amp Analytics Literate . illiterate users, uptake literate person as someone who can illiterate users, uptake literate person as someone who can Paradigm Shift . of . Data Analysis. Agenda. Changing Data Requirements: Big, Agile, Accurate. Transforming Data Analytics . from . Search . to . Discovery. Turning Data to Information Value. Creating . 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. . Jean Martin, CEB. October 24 , 2014. Pressure on HR to capitalize on data assets. Source: PwC, “15th Annual Global CEO Survey,” 2012, http:/. /www.pwc.com/en_GX/gx/ceo-survey/pdf/15th-global-ceo-survey.pdf.. . 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 . is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . Dr. Brett M. Baker, AIG for Audit, NRC OIG. Manuel J. Mireles, Forensic Auditor, NGA OIG. Shiji S. Thomas, Forensic Accountant, NSF OIG. Analytics 101 Outline. At the end of this session you will be able to understand:. 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 data-driven decisions.. FY18 DASHBOARD CONCEPT. 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. . is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . Using Analytics to Reduce Compliance Risk. Benjamin Yao. Director . Transparency . Global Ethics & Compliance. at.  . Astellas. Pharmaceuticals. Mohammad . Ovais. Founder & CEO . qordata. 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. IOT. Under Guidance : . . Prof. B.A.Khivsara mam. Presented By: . Monali Chavan. . TE Computer,. . Late Sau. Kantabai Bhavarlalji Jain, .