Mid Sweden University The Department of Information Technology and Media (ITM) Author: Katarina Lundqvist, kalu9700@student.miun.se Study program: Master of Science in Engineering – Computer Engineering, 270 higher education credits Examiner: Tingting Zhang, tingting.zhang@miun.se Tutor: Aron Larsson, aron.larsson@miun.se Tutor: Mats Olsson, mats.olsson@sogeti.se Scope: 20102 words inclusive of appendices Date: 2010-03-17 M.Sc. Thesis in Computer Engineering AV, 30 higher education credits
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Week 3 - The Big Data Challenges May 2014 Case Study: The Big Data Challenges Glendoria Early Strayer University CIS 500 – Information Systems for Decision Making Dr. Vince Osisek May 12, 2014 Case Study: The Big Data Challenges Week 3 - The Big Data Challenges Page 2 What if your car could talk? Well Volvo CIO's had to wonder the same thing as well. Volvo, a Swedish multinational manufacturing company, that not only produce cars, but light and heavy weight trucks as well as buses
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Facts “Zillow Group, or simply Zillow, is an online real estate database company that was founded in 2006 and created by Rich Barton and Lloyd Frink, former Microsoft executives and founders of Microsoft spin-off Expedia.”1 This website houses data for more than 90 million homes to buy, rental homes, rental apartments and rental properties, across the United States. Information on these properties includes size, bedrooms, bathrooms, kitchen, living room, location, cost, and even color. Zillow
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Data warehousing: what is it, why do we want to do it, how is it done? How do data warehouses compare with operational databases? What do we want to consider when doing so, and what are our options in terms of implementation? In this article, I discuss data warehouses: what they are, how they compare to operational databases, and how they are designed, implemented and maintained. An operational database is one which is used by the enterprise to run its day to day operations. They are created
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Table of contents Introduction Page 6 Task 1 Page 7 Task 2 Page 10 Task 3 Page 14 Task 4
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Objects Enterprise Training Curriculum Data Warehousing: • Introduction to Business Objects Enterprise Reporting • Fundamentals of Data warehouse Concepts • Introduction to Dimensional Modeling • Developing a Star Schema Reporting: • Building and editing queries with Web Intelligence • Performing on report analysis with Web Intelligence • Filtering Queries using conditions, prompts etc., • Using Combined Queries and merging dimensions • Displaying data in various formats (Ex: Tables, Charts
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nformation Technology for Management Transforming Organizations in the Digital Economy International Student Version EFRAIM TURBAN, University of Hawaii at Manoa LINDA V O L O N I N O , Canisius College with contributions by: CAROL POLLARD, Appalachian State University . JANICE C. SIPIOR, Villanova University DOROTHY LEIDNER, Baylor University LINDA LAI, Macau Polytechnic University of China CHRISTY CHEUNG, Hong Kong Baptist University DEBORRAH CRISTOBAL, University of Santo
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support. BI combines architecture, databases or data warehouses, analytical tools and applications. BI’s major objective is to enable easy access to data and provide business mangers with the ability to conduct analysis. BI helps to transform data, to information, to decisions and finally to action. (8am – 9am) Management Support Systems – Extends information retrieval to the end user with queries and analysis capabilities of the XYZ Inc.’s data. Decision-making tools are available to all functions
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Activity 1.7 Case Study 1. (a) How information technology contribute to the business success of eCourier one example is that the CEO and Bregman gave GPS-enabled handhelds (system) so the couriers can be tracked and orders can de communicated electronically which improved the process and performance so they did not have to use phone dispatchers and was a much faster and easier way to keep tracker of everything. (b) Cablecom used Dimensions survey research software to create an online customer
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support systems(DSS),and analyzes the role played by the information system and its component, briefing simple steps of building a CRM system with quality to avoid the popular known problems of integration between systems trying to produce a clear data with enough degree of quality to be used the DSS system to support different levels of management in the organization to put their strategies based on expected number of customer. A combination of survey and case studies research approach was used
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