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    MBA 503.01 – Data Analysis and Decision Making Spring 2013 M ondays & Wednesdays : 1 0 : 00 a .m. – 1 1 : 2 0 a .m. H arriman Hall Room 10 8 M . Shane Higuera ‚ Ed.D. E - Mail: s hane@ sbawebsite.net T elephone & T ext : (631) 8 07 - 7904 Goals of the Course This course is an introduction to data analysis and decision making in business. In your career‚ you will often face situations in which a clear understanding of statistical thinking and decisionmaking methodology will be essential

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    including opportunities‚ salary‚ and working conditions will justify my decision to obtain a position as a financial manager for a major corporation. The opportunities available to someone with a degree in finance are limited to only a few facets of the business world‚ but according to Job Outlook 2004‚ a finance degree is one of the top ten degrees in highest demand. Employers are starting to seek graduates with a master’s degree as well as a bachelor’s degree‚ which makes competition tough among applicants

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    RESEARCH Understanding the Experiences of Adult Learners: Content Analysis of Focus Group Data Jeff Zacharakis‚ Marie Steichen‚ and Gabriela Diaz de Sabates‚ Kansas State University Dianne Glass‚ Kansas Board of Regents ABSTRACT In this qualitative research study‚ we sought to better understand the experiences of adult learners in adult education centers. We conducted eight focus groups with 104 adult education students from 25 adult learning centers. Five groups were made up of English-speaking

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    Data Managament

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    you an understanding of how data resources are managed in information systems by analyzing the managerial implications of basic concept and applications of database management. Introduce the concept of data resource management and stresses the advantages of the database management approach. It also stresses the role of database management system software and the database administration function. Finally‚ it outlines several major managerial considerations of data resource management.

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    Assignment 3 (20 points) Assignment 3: Business Types Instructions Save this file in your course folder‚ and name it with Assignment‚ the section number‚ and your first initial and last name. For example‚ Jessie Robinson’s assignment for Section 1 would be named Assignment1JRobinson. Type the answers to the assignment questions below. Use complete sentences unless the question says otherwise. You will have more than one day to complete an assignment. At the end of each day‚ be sure to save your

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    Big Data

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    billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential

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    Data Processing

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    240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding

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    Chai Ming Perng Name Student ID 1 Lynie Liew Tyng Huey 14WBD05482 2 Gan Hin Hun 14WBD03034 3 Kong Boon Kee 14WBD03958 4 Hew Zee Ching 12WBD05302 5 Choo Ke Xin 14WBD02061 6 Kuan Chun Loong 14WBD04522 Coursework Report TOPIC: Financial Ratio Analysis Section A (i) CALCULATION OF FINANCIAL RATIOS Financial Ratios Actual 30 June 2015 Forecast 30 June 2016 (a) Operating Profit Margin (b) Interest cover (c) Inventory days (d) Receivable days (e) Payable days (ii) COMMENTARY

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    Data Security

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    Master Thesis Electrical Engineering November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies.

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