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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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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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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As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that
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Business Intelligence Plan Executive Summary The purpose of this report is to explain the importance of Business Intelligence and all of its components for implementation into the business structure. During the recent years obtaining useful information in real time has become something that is extremely important‚ if not even a critical‚ factor of success for companies. The time managers have available for use in making business decisions has been reduced dramatically
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Transformation through Business Intelligence Deployments Business intelligence (BI) is a broad category of applications and technologies for gathering‚ storing‚ analyzing‚ and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems[->0]‚ query[->1]and reporting‚ online analytical processing (OLAP[->2])‚ statistical analysis‚ forecasting‚ and data mining[->3]. Business intelligence applications can be:
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• . Contour Business Intelligence (Contour BI) Publisher: Contour Components Primary Category: OLAP Product Type: Application Interactive Reporting‚ Data Analysis‚ and Information Delivery. Contour Business Intelligence is a platform for building corporate reporting systems and information delivery solutions for all kinds of business‚ governments‚ and statistical and state agencies. Contour Business Intelligence (Contour BI) includes Contour Reporter (Application for interactive reporting
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