Graduate Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data for the last year’s donation raising campaign
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Data mining and OLAP are the most common Business Intelligence technologies. The term Business Intelligence refers to computer based methods to identify and extract useful information from business data. Online Analytical Processing commonly known as OLAP provides summary data and generates rich calculations. OLAP is a class of systems that provide answers to multidimensional queries. OLAP is typically used in business reporting for sales‚ marketing and various such domains. OLAP enables the users
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understand the importance of a data warehouse 2. identify strategic advantages that an organization can derive from a data warehouse Case : Continental Airlines Flies High with its Real-time Data Warehouse As Business Intelligence (BI) becomes a critical component of daily operations‚ real-time data warehouses (DW) that provide end users with rapid updates and alerts generated from transactional systems are increasingly being deployed. Real-time data warehousing and BI‚ supporting its
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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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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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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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of Managing Information systems in a corporate environment. The issue of information communication within the organization would be studied and how lack of information to the concerned decision makers would impact the overall efficacy of the organization would be brought forward. Finally the learner would conclude by providing recommendations to overcome these issues in an international environment. The company chosen for this paper is Apple Inc. as information systems in an Information Technology
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July 012 emiannua -S l Volume 5 Number 2 blication Pu Editorial Note Profile of Authors Included in this Number Information for Contributors 201 202 204 Articles Vision or Psychic Prison Khuram Shahzad The Assessment of Social Reporting on behalf of Accepted Corporations Listed in Tehran Stock Exchange Hosseyn karbasi yazdi‚ Kobra Hemmati‚ Ali Bayat Data Warehousing Ofori Boateng‚ Jagir Singh‚ Greeshma‚ P Singh Wavelet Transform‚ Neural Networks and The Prediction of S&P Price
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Activity 1 Part A) What event did you attend? ENTERPRISE INFORMATION MANAGEMENT An Overview of The Enterprise Data Warehouse and Business Intelligence Part B) When and where was it held? It was held at Sydney Mechanics School of Arts Level 1 280 Pitt Street on Wednesday 24th November 2010 between 6:30-7:30pm Activity 2 Part A) Write the details from the business card of the first person you met at this event. Ban Pradham He finished his masters degree at Macquire University and now he
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1 Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the
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