PPT-Developing a Visual Analytics Approach to Analytic Problem-

William Ribarsky UNC Charlotte Two Key Statements The purpose of visualization is insight and practical knowledge building not pictures Visual analytics is the integration of interactive visualization and analyses to solve complex reasoning problems. Keeping up with the Quants & Lifting the mist.. Dr Andrew McCarren. What we start with?. Getting a clear picture. What is the question?. No exact answers?. Assumptions?. Variation (the same inputs don’t always give us the same answers). Announcing 1000+ . MapReduce. -ready Advanced Analytic Functions. . June 21. st. . 2010. Aster Data’s Solution. A . Data-Analytics Server . for Big Data Management. Integrated analytics engine. , that uniquely leverages MapReduce for rich, scalable . 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 . Alteryx. . is the fastest analytics . plataform. that is purpose- built to empower data analysts & their productivity.. It blend complex data, build analytics in a much easier way than tools like SAS, and simplify how analytics insights are consumed by business users.. 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. Larry Mosiman. June 18, 2009. Analytics and the Customer Experience. Context – Communication and the customer experience. What it takes to be successful. Where can this approach be used?. Examples. Organizational Readiness for a . Data . Analytics Program. Presented . by. . Caryl Brzymialkiewicz, Ed Slevin, and Kelly Tshibaka. June 26, . 2017. Session Objectives. . At the end of this session participants will be able to. Data . Analytics Capability Across . the IG . Community. Data Analytics Options Working Group (DAOWG). Presented by. Council of . the Inspectors General. . on Integrity and Efficiency (CIGIE) . June 2017. 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:. 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 . 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. On the Analytic-Continental Divide in Philosophy Nietzsche’s Lying Truth, Heidegger’s Speaking Language, And Philosophy --Babette E. Babich 1 What is Analytical Philosophy? Analytic approach (Michael Jon MackeyMechanical Engineering, University of AkronMaterials Science and Engineering, Case Western Reserve UniversityFred DynysNASA Glenn Research CenterNASA Cooperative Agreement: NNX08AB43ANASA/US 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.