Examination Paper : Semester II IIBM Institute of Business Management Examination Paper Management Information Systems Section A: Objective Type (30 marks) This section consists of Multiple choice questions and Short Note type questions. Answer all the questions. Part one questions carry 1 mark each & Part two questions carry 5 marks each. MM.100 Part one: Multiple choices: 1. Management Information System is mainly dependent upon: a. Accounting b. Information c. Both ‘a’ and ‘b’ d. None
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University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
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DW MODELS Data Warehousing Battle of the Giants: Comparing the Basics of the Kimball and Inmon Models Mary Breslin Many organizations today need to create data warehouses— massive data stores of time-series data used for decision support. These organizations face a range of choices‚ both in terms software tools and development approaches. Making good choices requires an understanding of the two main data warehousing models— Inmon’s and Kimball’s. Bill Inmon advocates a top-down development approach
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upper-class and business travelers. The company has also been able to operate in the face of adversity (such as 9/11) due to effective decision-making. The company moved to its new initiative from "First to Favorite". It also expanded Enterprise Data Warehouse which empower a real-time business intelligence capability. Its IT department delivers service for internal operations as well as for its customer service and external Web Applications and programs. Continental was able to concede to bring back
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Searching for Revenue-Google The search engine‚ Google‚ has been deemed and is famous for its highly successful search engine. This unit closing case reveals how Google has become a powerful search engine by detailing on how Google works‚ how revenue is made by ADWords‚ and by explaining the expansion of Google. Google works with the web server which sends the query to the index servers then travels to the document servers and finally returns the results back to the users. Revenue for Google is
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Data Warehousing - Overview The term "Data Warehouse" was first coined by Bill Inmon in 1990. He said that Data warehouse is subject Oriented‚ Integrated‚ Time-Variant and nonvolatile collection of data.This data helps in supporting decision making process by analyst in an organization The operational database undergoes the per day transactions which causes the frequent changes to the data on daily basis.But if in future the business executive wants to analyse the previous feedback on any data
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What is Data Management? What are some of the difficulties that organizations face when managing data? How can data warehousing‚ online transactional databases and data mining assist with these difficulties? May 18‚ 2014 Kendra L Thompson ITEC 6111: Information Technology in the Organization Professor Mello Star Just as cars need fuel‚ so does organizations‚ when it comes to data it serves as fuel to many organizations. Without the use of data‚ organizations would probably “go
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Three generations of Data Management in Decision Support 1. Early 1970s - required a repository of data : sourced from operational system + other data (e.g. external data) - Data was customized for the specific DSS - Application-centric approach : data support a single or a few related applications used to help make the business case for the warahouse - Sprague provided the Data-Dialog-Models (DDM) paradigm 2. Late 1980s - Telecommunications‚ retailing and financial services
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strategy could be implemented with Data warehouse technology which called VISION. 2. Describe the FAC warehouse project. In short‚ the FAC warehouse project can be described as a 4steps. First‚ Collect internal and external raw data from many data sources. Second‚ Examine this raw data validity and purify the data by data extraction and transformation to store data into Data warehouse. Third‚ Analyze these data which stored and shared by the data warehouse to get proper and valuable information
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3M Moves to a Customer Focus Using a Global Data Warehouse Dale Goodhue‚ University of Georgia Barbara Wixom‚ University of Virginia Introduction In 1995‚ 3M Chairman and CEO L. D. DeSimone along with his top management team recognized that the focus of 3M had to change. For nearly 100 years‚ 3M manufactured products to make life easier‚ safer‚ healthier‚ and more productive for people in nearly 200 countries. In the excitement of creating innovative products‚ however‚ 3M was ignoring its
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