PPT-Using Data Analytics

Author : stefany-barnette | Published Date : 2016-03-01

in Government to make Better Decisions Mayor Stephen Goldsmith Daniel Paul Professor of Government Director Innovations in American Government stephengoldsmithharvardedu

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Using Data Analytics: Transcript

in Government to make Better Decisions Mayor Stephen Goldsmith Daniel Paul Professor of Government Director Innovations in American Government stephengoldsmithharvardedu datasmartashharvardedu . Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. Introduction. Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. What is Big Data?. Authors: Yoane Lopes and Victor . Mudarikwa. John Wohlers. Waubonsee Community College. Technologies Used. SirsiDynix E-Library. Google Analytics. JavaScript. An Introduction to Google Analytics. Statistics and reporting tool. Geared towards marketing. What is the problem?. 1- Data . is spread across different . people. Toren. and . Albert track Wellness . & Testing numbers. . Daniel . Reijer. . tracks . Global . patients.. IT . keeps data on patients demographics and . Chap 2: Data Analytics Lifecycle. Charles . Tappert. Seidenberg School of CSIS, Pace University. Data Analytics Lifecycle. Data science projects differ from BI projects. More exploratory in nature. Critical to have a project process. Chapter 5 Learning . Data Analytics with R and Hadoop. 데이터마이닝연구실. 2015.04.23. 김지연. Content. Understanding the data analytics project life . cycle. Understanding data analytics . (CS40003). Dr. Debasis Samanta. Associate Professor. Department of Computer Science & Engineering. Lecture #11. Sensitivity Analysis. Topics Covered in this Presentation. Introduction. Estimation Strategies. Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. 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:. GSA . SmartPay. ® Training Forum – August 1-3,2017. presented by. Tri Thai. GSA . SmartPay. ® Training . Agenda. Training . Overview and Expectations. What Is Analytics?. Why is Analytics Important?. . IIA Seminar . May 13, 2016. Audit & Advisory. The New Path to Value Creation. Creative destruction. Data trends. Future of Internal Audit. People, Process & Technology Challenges. Practical Frameworks . James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. To the Next Level. Don Sparks. Audimation. Services. February 10, 2015. Warm UP Routine. Difference between a Data warehouse, mart, or lake? . What is the significance?. What is your auditing function’s strategy on data analytics? . (Insights on AACSB Curriculum Design). Workshop Coordinators:. Paul . Cronan. , Ron Freeze & Rhonda Syler. Sam M. Walton College of Business. , University of Arkansas. Faculty & Industry Representatives. Proposed Bachelor of Science (B.S.) in Business - Analytics Track. Paolo Catasti, PhD, MBA, CSSBB. Teaching . Assistant Professor. Statistics and Analytics. Top Analytics Employers in the Greater Richmond Area.

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