PPT-Advanced Data Analytics

Author : olivia-moreira | Published Date : 2018-11-04

in Fraud Identification February 23 2015 Current challenges Data analytics defined What are clients saying Technology Case Examples Questions Agenda Current challenges

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Advanced Data Analytics: Transcript


in Fraud Identification February 23 2015 Current challenges Data analytics defined What are clients saying Technology Case Examples Questions Agenda Current challenges erropportunities. Seayoung. Rhee. Sr. Technical Product Manager. Microsoft Advanced Analytics. BRK2569. Transformational . trends. cloud . computing. 2011 .  2016 5x increase. e. merging data science talent. Universities filling . Tõnis Tikerpäe. Primend Service Manager. Microsoft P-Seller. Sobering statistics . The frequency and sophistication of cybersecurity attacks are getting worse.. $3.5M. The average cost of a data breach to a company . advanced attacks:. Microsoft . Advanced . Threat . Analytics. Preview . Demi . Albuz. Benny . Lakunishok. BRK3870. Sobering statistics. $3.5M. The average cost of a data breach to a company . 200+. The median # of days that attackers reside within a victim’s network before detection . Making . the Connection. Don N. Kleinmuntz, Ph.D.. Principal, Kleinmuntz Associates LLC. President, INFORMS Section on Analytics. Developments . in Advanced Analytics and Big Data 2014. London, 30 April 2014. Marin Frankovic. Datacenter. TSP. mafranko@microsoft.com. $3.5M. The average cost of a data breach to a company . The frequency and sophistication of cybersecurity attacks are getting worse.. Sobering statistics . Prof Sunil . Wattal. Agenda. Introductions. Intro to Data Analytics. Course Logistics. Overview of Topics. Setting up SAS EM. Data Analytics. McKinsey Report. s. hortage of 1.5 million analytics individuals in US. 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:. 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 . Speaker Name. Title. AUGUST 2016. The frequency and sophistication of cybersecurity attacks are getting worse.. The median # of days that attackers reside within a victim’s network before detection . Karim. Jetha. What is football analytics?. Four general processes comprise “analytics”. Asking meaningful questions. Acquiring relevant data. Analyzing the data quantitatively. Presenting the results. . 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. IOT. Under Guidance : . . Prof. B.A.Khivsara mam. Presented By: . Monali Chavan. . TE Computer,. . Late Sau. Kantabai Bhavarlalji Jain, . MIS2502: Data and Analytics. Jeremy Shafer. The Information Architecture of an Organization. Transactional Database. Analytical Data Store. Data entry. Data extraction. Data analysis. Now we’re here….

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