PPT-Analytics for a Smarter Government: Business Intelligence & the Future of Predictive

Author : sophia2 | Published Date : 2023-10-04

NIH Project Management Community Meeting November 9 2011 Contact Information Jon Desenberg Policy Director The Performance Institute 805 15 th Street NW 3 rd

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Analytics for a Smarter Government: Business Intelligence & the Future of Predictive: Transcript


NIH Project Management Community Meeting November 9 2011 Contact Information Jon Desenberg Policy Director The Performance Institute 805 15 th Street NW 3 rd Floor Washington DC 2005. BCSI 2013. Michael Trick. Tepper. School of Business, Carnegie Mellon University. The Past. Package Delivery. Internet Search. Mail Delivery. The Past. Package Delivery. Internet Search. Mail Delivery. San Francisco. , February 19, 2009. The Unrealized Power of Data. Andreas Weigend. people & data. Outline. Q: Current bottleneck for you in your business? (Scarce . vs. abundant)?. Historical perspective. December 2013, Jakub Miarka, University of Leeds. RapidMiner. Formerly called . YALE. (Yet Another Language Environment). Environment for . machine learning, data and text mining, predictive and business analytics. sfhornbuckle@photizogroup.com. Predictive Analytics. Turning Data into Profits. Photizo Group. Who We Are. ….. Who is . Photizo. Group?. We wake up in the morning, brew imaging, and drink it all day.. Karim. Jetha. What is football analytics?. Four general processes comprise “analytics”. Asking meaningful questions. Acquiring relevant data. Analyzing the data quantitatively. Presenting the results. Information Systems Development. Learning Objectives. Upon successful completion of this chapter, you will be able to:. Explain the difference between BI, Analytics, Data Marts and Big Data.. Define the characteristics of data for good decision making.. Pregnant: . Predicting . T. he Future Of Predictive Analytics In Healthcare. Dale Sanders . SVP Strategy . Health Catalyst. To . what degree is your organization using predictive analytics to improve care were reduce cost?. C. ultural . E. ntrepreneurship. @. andyhamflett. WHY AM I HERE?. DATA = BAD. DATA = BAD. DATA = BAD. DATA = MISUNDERSTOOD?. SESSION OUTLINE. SESSION OUTLINE. SESSION OUTLINE. BIG DATA – QUÉ?. @AAM_Associates @andyhamflett . Tayaba Nadeem. Business Intelligence Services Team Leader. 317.224.1289. Tayaba.Nadeem@mcmtsg.com. Business Intelligence. What is Business Intelligence?. Process of understanding data. Process of using data. Coping with uncertain futures. Dr Christophe Lazaro (. UCLouvain. ). Dr Marco Rizzi (UWA Law School). Introduction – technological context. development of artificial intelligence (AI) and digitization of life . Tanya Scott. Director, Business Analytics Department. Assoc. Dean, Business & Public Services . Dr. Manju Shah. Assoc. Department Head, Business Analytics Department. Wake Technical Community College . Presented by:. Tanya Scott. , Director, Business Analytics Department & Associate Dean, BPST. Wake Technical Community College. Social Media!. Twitter:. @. LearnAnalytics. AAS Business Analytics:. By . Shepherd Fungura, . BCom. , FASSA, FIA. President of Actuarial Society of Zimbabwe . Group Chief Risk Officer at Old Mutual Zimbabwe. @. Insurance Institute of Zimbabwe Winter School – Monday 22 August 2016. Tanya Scott. Director, Business Analytics Department. Assoc. Dean, Business & Public Services . Dr. Manju Shah. Assoc. Department Head, Business Analytics Department. Wake Technical Community College .

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