Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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DATA DICTIONARY Data Dictionaries‚ a brief explanation Data dictionaries are how we organize all the data that we have into information. We will define what our data means‚ what type of data it is‚ how we can use it‚ and perhaps how it is related to other data. Basically this is a process in transforming the data ‘18’ or ‘TcM’ into age or username‚ because if we are presented with the data ‘18’‚ that can mean a lot of things… it can be an age‚ a prefix or a suffix of a telephone number‚ or basically
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name‚ the course title and the Unit and Assessment number. Please note that this Assessment document has 12 pages and is made up of 5 Sections. Name: Pat Williamson Section 1 – Understand the factors that affect an organisation and the customer service role 1. Complete the table below with a description of the products and services for at least two commercial organisations‚ public organisations and third sector organisations. Please ensure you provide a description for each organisation
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THE CUSTOMERS SATISFACTION EATING IN GELAP NYAWANG CANTEEN By : TIFARIE LUESAS (NIM : 19011015) SUKMAYANTI (NIM : 19011110) LAELA TRI NUR ILAINA (NIM : 19011118) JAKA FERNANDO (NIM : 19011182) ALEXANDER SINABUTAR (NIM : 19011185) Program Study Business and Management INSTITUT TECHNOLOGY BANDUNG Approved by Date : December‚ 18th 2012 BRM Tutor Kiki Sarah | BRM Lecturer Yos | ABSTRACT THE CUSTOMERS SATISFACTION
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Ashleen Quirke Mr. Homa 4 December 2014 Period 3 Think Like a Freak Chapter 1: What Does It Mean to Think Like a Freak? Most people do not truly know what makes them happy. A great example given on page 9 was that married people are demonstrably happier than single people‚ but this does not mean that marriage creates happiness. In reality‚ generally happy people get married‚ and unhappy people do not get married‚ in order to become happy. The thoughts in this book are
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Jackson‚ S. E. (2011). Whose customers are they? Journal of Business Strategy‚ 32 (3)‚ 47-49. Whose customers are they? The Authors Stuart E. Jackson‚ Vice President at L.E.K. Consulting LLC‚ Chicago‚ Illinois‚ USA Abstract Purpose – Many product organizations recognize the benefits of outsourcing manufacturing of key components or even entire product lines to China and other low labor cost countries. But while the cost savings are obvious‚ many product companies fail to grasp the parallel
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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about the customer is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining
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