Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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A marketing information system (MIS) is intended to bring together disparate items of data into a coherent body of information. An MIS is‚ as will shortly be seen‚ more than raw data or information suitable for the purposes of decision making. An MIS also provides methods for interpreting the information the MIS provides. Moreover‚ as Kotler’s1 definition says‚ an MIS is more than a system of data collection or a set of information technologies: "A marketing information system is a continuing
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Data Collection: Data collection is the heart of any research. No study is complete without the data collection. This research also includes data collection and was done differently for different type of data. TYPES OF DATA Primary Data: For the purpose of collecting maximum primary data‚ a structured questionnaire was used wherein questions pertaining to the satisfaction level of the customer about pantaloons product(apparel)‚ the quality‚ color‚ variety of products‚ the availability of different
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Americans leave long electronic trails of private information wherever they go. But too often‚ that data is compromised. When they shop—whether online or at brick and mortar stores—retailers gain access to their credit card numbers. Medical institutions maintain patient records‚ which are increasingly electronic. Corporations store copious customer lists and employee Social Security numbers. These types of data frequently get loose. Hackers gain entry to improperly protected networks‚ thieves steal employee
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1. Describe the multiple locations from which customers can submit orders and the information technology components customers would need (on their end) to accomplish this activity. Location IT Example/Explanation Company Website – therefore anywhere once you have the appropriate IT Hardware – Input Output Storage Processing Keyboard‚ Scanner‚ Mouse‚ PC‚ Laptop‚ Tablet Screen‚ printer Internal memory (RAM/ROM) Software Operating systems‚ web servers and browsers Network - WAN
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software programmed on the computer to help users in making business decisions. DSS assists users by analyzing business data. It can also be defined as a computer application that can enhance a person’s ability. French and Turoff (2007) defined DSS as a multi-faceted system which includes a variety of functions. They believed that DSS not only can analyze and summarize the data but also can simulate the future after several courses of action. According to Drudzel and Flynn (2005)‚ DSS is a useful
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Use the words to match the function of the following organelles. |M___ Membrane separating the contents of the nucleus from the rest of the cell |a. cilia | |J___ Protein synthesis |b. microtubules | |L___ Helps in animal cell division |c. lysosomes | |E___ Contains DNA
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There are many key differences that are important to understand between data oriented and process oriented approaches to designing a new system. The system focus of the data views and process views are entirely different. The process view focuses on what the systems supposed to do and when‚ while the data view has a focus on what the system needs to operate. Another noteworthy difference that distinguishes the two views is the design stability. The design stability of a process view is a more limited
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Green supply chains Esty DC‚ Winston AS (2006): Green to gold: how smart companies use environmental strategy to innovate‚ create value‚ and build competitive advantage University Press Fawcett SE‚ Ellram LM‚ Ogden JA (2009): Supply chain management – from vision to implementation Fisher ML (1997): What is the right supply chain for your product? Harvard Business Review‚ 72: 105–116. Kaplan RS‚ Norton DP (1996): The balanced scorecard: translating strategy into action. Boston‚ Mass: Harvard Business
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“The value of an idea lies in the using of it.” -Thomas Edison. I have always believed in the power of ideas. Coming from an engineering background I have always been fascinated by the application of ideas to the betterment of our lives. But my experiences from working in the knowledge sector‚ volunteering for and organizing various activities taught me that there is many a slip between the cup and the lip. Shaping a great idea into a reality and making it successful requires a diverse range of
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