Business Intelligence Definitions • Data mining (knowledge discovery in databases): – Extraction of interesting (non-trivial‚ implicit‚ previously unknown and potentially useful) information or patterns from data in large databases • Data mining helps end users extract useful business information from large databases • Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. • The goal of data mining may be to allow a corporation
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DISSERTATION of the University of St.Gallen‚ Graduate School of Business Administration‚ Economics‚ Law and Social Sciences (HSG) to obtain the title of Doctor of Business Administration submitted by Florian Fuhl from Germany Approved on the application of Prof. Dr. Li Choy Chong and Prof. Dr. Narendra Agrawal Dissertation No. 3211 Druckerei Lauterberg‚ Ketzin‚ 2006 The University of St.Gallen‚ Graduate School of Business Administration‚ Economics‚ Law and Social Sciences (HSG) hereby
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Business analytics and data mining provided 1-800-Flowers with all of the following benefits except: Select one: a. more efficient marketing campaigns b. increased mailings and response rates c. increased repeat sales d. better customer experience and retention On the commercial side‚ the most common use of data mining has been in ________ sectors. Select one: a. manufacturing and heath care b. online retail and government c. R&D and scientific d. finance‚ retail‚ and health
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Introduction: The report focuses on data mining approach to predict human wine taste preferences. A large data set is considered with white and red wine samples (“Vinho Verde” wine from Portugal). The inputs include objective tests (e.g. PH values) and the output is based on sensory data (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent). Due to privacy and logistic issues‚ only physicochemical (inputs) and
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sources of competitive advantage on the giant gaming company Zynga. The initial hypothesis we proposed are: Simplicity of the games offered; Accessibility of the games offered‚ focusing on the platform; and the social component that the games provide. The scope of our analysis is not only the social gaming industry; instead we assessed Zynga in the whole gaming industry context. The purpose of this analysis is not only to determine why Zynga is the best in social gaming but instead try to explain the
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Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with
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Oracle Business Intelligence: A Case Study Introduction We live in an everyday changing world where technology is constantly generating data and valuable information for organizations and communities‚ which is often overlooked or undervalued. Business Intelligence is a concept‚ accompanied by a set of tools and techniques that powers the use of data towards business strategies and goals already established. It enhances the use of technology for competitive advantage through better use of information
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operations .BI is neither a product nor a system. It is an architecture and a collection of integrated operational as well as decision-support applications and databases that provide the business community easy access to business data. BI Is 1st coined by IBM researcher Hans Peter Luhn in 1958. He Defined intelligence as the Ability to apprehend the interrelationship of presented facts in such a way to guide action towards desired goal. Involves PEOPLE and Technology. Involves using a rational
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The impact of Emotional Intelligence on management performance Ioannis D. Christopoulos Course of Study: Master in Management Year 1st (weekend course) IST STUDIES UNIVERSITY OF HERTFORDSHIRE Assignment submitted for the module “Managing Self and Others” Module Leader: Ms. Vhyna Ortega and Dr. Theodora Asimakou 06 May 2009 IST Studies-University of Hertfordshire 72 Pireos St. GR-183 46 Athens
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Management Information Systems MANAGING THE DIGITAL FIRM‚ 12TH EDITION Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT Management Information Systems CHAPTER 6: FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT RR Donnelley Tries to Master Its Data • Problem: Explosive growth created information management challenges. • Solutions: Use MDM to create an enterprise‐wide set of data‚ preventing unnecessary data duplication
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