PPT-Data Analytics

Author : tatiana-dople | Published Date : 2017-05-03

CS40003 Dr Debasis Samanta Associate Professor Department of Computer Science amp Engineering Lecture 11 Sensitivity Analysis Topics Covered in this Presentation

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Data Analytics: Transcript

CS40003 Dr Debasis Samanta Associate Professor Department of Computer Science amp Engineering Lecture 11 Sensitivity Analysis Topics Covered in this Presentation Introduction Estimation Strategies. stay ahead of the curve. Uncover new information and value to . remain competitive. 4 . tracks. . designed to follow the . Analyst’s Journey. May 2-4, San Jose, California. Register . at . passbaconference.com . Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. Overview . of Spatial Big Data and . Analytics. (8:40-9:15am). James B. Pick. University of Redlands School of Business. James_pick@redlands.edu. . Pre-ICIS Workshop on Locational Analytics, Spatial . 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. 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 . 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 . in . Fraud Identification. February 23, 2015. Current challenges. Data analytics defined. What are clients saying?. Technology. Case Examples. Questions. Agenda. Current . challenges err…opportunities. October 12, 2017. Welcome and Announcements - Juanita. Survey Results – Juanita. Practitioner Presentations. Associated Bank - Corporate Audit Services. Benjamin Arthur, CPA, CIA, CISA. Operations and Technology Audit Director. 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? . Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . . Chap 11: Adv. Analytics – Tech & Tools:. In-Database Analytics. Charles . Tappert. Seidenberg School of CSIS, Pace University. Chapter Contents. 11.1 SQL Essentials. 11.1.1 Joins. 11.1.2 Set Operations. (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. Data Analytics What is Data Analytics Data analytics is the process of manipulating data to extract useful trends and hidden patterns which can help us derive valuable insights to make business predictions. Use of Data Analytics Improved

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