“Harrah’s High Payoff from Customer Information.” Answer the following questions about this case: a. What information does the data mining generate? Answer) Customer behavior and preference related data. It is needed to analyze customer behavior and preference data. To generate the necessary data and understand customers’ preferences‚ Harrah’s had to mine the data. From these requirements‚ Harrah’s Winners Information Network (WINet) emerged. b. How is this information helpful to management
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consequence‚ data analysis tends to become a priority in the activity of an organization for decision making. The diversity and the dynamic evolution of tools and technologies from Business Intelligence category‚ represent a positive factor‚with a decisive role‚ in the evolution of decision making systems and implicit in increasing quality of decisions. For an organization‚ Business Intelligence technologies are strong and complex tools for analysis‚ reporting and prognosis in which the core is data warehouse
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detailed and consolidated data from many perspectives. OLAP involves basic analytical operations: * Consolidation * Drill-down * Slicing and Dicing OLAP Examples Common Business areas where OLAP can solve complex problems include: * Marketing and sales analysis * Clickstream data * Database marketing * Budgeting * Financial reporting and consolidation * Profitability analysis * Quality analysis Geographic Information and Data Visualization Systems
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o The first line of defense an organization should follow to help combat insider issues is to develop information security policies and an information security plan • 2nd Line of Defense – Technology o People: Authentication and Authorization o Data: Prevention and Resistance o Attack: Detection and Response Security Measures‚ Methods‚ and Tools • Encryption‚ Firewalls‚ How are the tools applied Primary IT Security Areas • Authentication‚ Authorization o Authentication – A method for confirming
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advanced.html Mobile Technology A browser search has become secondary for many brands that no longer does content wait for a customer to come to them‚ they are now able to sense a presence and deploy content‚ targeting potential buyers using Big Data‚ geo-targeting‚ even RFID technology. One of the new features of iOS 7 (Apple’s latest operating system) is iBeacon‚ a sensor that alerts mobile devices that they are near certain places or objects. For example‚ a homebuyer might walk past a listing
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signs of a potential churn‚ recognizing what the customer is looking for by the switch over and automating personalized win back campaigns are essential to sustain business in this era of competition. E-Commerce firms normally possess large volume of data pertaining to their existing customers like past transactions‚ search history‚
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Nowadays the problem is often not to access text information but to select the relevant documents [2]. The steady development of computer hardware technology in the last few years has led to large supplies of powerful and affordable computers‚ data collection equipments‚ and storage media. These technologies provide good support to the database and information industry and make a huge number of databases and information repositories
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Kevin Turner’s‚ and ultimately WalMart’s‚ approach to IT infrastructure (an consequently has resulted in making the company a supply-chain success story) is an aggressive commitment to a measurable return on investment. The company uses its gigantic data warehouse‚ some 175 terabytes of information‚ to not only serve its stores and managements needs‚ but as a checking mechanism for measuring the value new technology adds to the company. Most of WalMart’s systems are successful for many reasons. WalMart
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Mid Term Exam 15.062 Data Mining Problem 1 (25 points) For the following questions please give a True or False answer with one or two sentences in justification. 1.1 A linear regression model will be developed using a training data set. Adding variables to the model will always reduce the sum of squared residuals measured on the validation set. 1.2 Although forward selection and backward elimination are fast methods for subset selection in linear regression‚ only step-wise selection is guaranteed
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the specific differences that exist between data‚ data structures and information. Discuss how marketing research practices are used to transform data into meaningful bits of information. Data represents the actual first-hand responses that are obtained about an object or a subject of investigation by asking questions or observing actions (e.g. words numbers). Data structures represent the results of combining individual responses into groups of data using some type of quantitative or quantitative
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