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  • INFS21600 Management Information Systems
    How to Analyze a Case Study General Guidelines for writing business reports Assignment 1 Does IT Matter Assignment Specifications Nicholas G Carr Article Assignment 2 Garment Industry Case Assignment Specifications Case Description Assignment 3 Project Prioritizing Assignment Specifications Case Description

    Original URL path: http://dheise.andrews.edu/courses/2012INFS21600/asg/index.htm (2013-06-13)
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  • Group Listings include file
    Karli U Chimpaka Hazel U Davies Channae U Forster Damien U Melville Luke U Morton Sonya U Robinson Matthew U Romero Matt U Slade Luke U Sonter Amy U Sperring Trent U Stephens Elysha U Turner Olive U LastName FirstName Group Borresen Karli U Chimpaka Hazel U Davies Channae U Forster Damien U Melville Luke U Morton Sonya U Robinson Matthew U Romero Matt U Slade Luke U Sonter Amy

    Original URL path: http://dheise.andrews.edu/courses/2012INFS21600/ClassList.shtm (2013-06-13)
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  • INFS21600 Management Information Systems
    Interactive Session 2 Case Study 6 Foundations of Business Intelligence Database and Information Mgmt Interactive Session 1 Interactive Session 2 Case Study 7 Telecommunications the Internet and Wireless Technology Interactive Session 1 Interactive Session 2 Case Study 8 Securing Information Systems Interactive Session 1 Interactive Session 2 Case Study 9 Achieving Operational Excellence and Customer Intimacy Enterprise Apps Interactive Session 1 Interactive Session 2 Case Study 10 E Commerce Digital

    Original URL path: http://dheise.andrews.edu/courses/2012INFS21600/CaseStudies.htm (2013-06-13)
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  • Index to PowerPoint Slides
    Building a Relational Database for Inventory Management right click and download Solutions for exercises 1 7 6 Apr 7 6 7 Apr 14 9 380 381 Using Database Software to Manage Customer Service Requests right click and download 8 Apr 21 Classes end at 5 00 PM Apr 28 Mid Semester Break April 22 May 1 9 May 5 10 419 Using Spreadsheet Software to Analyze a Dot Com Business

    Original URL path: http://dheise.andrews.edu/courses/2012INFS21600/HandsOn.htm (2013-06-13)
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  • Data Warehousing - List of Figures
    in STUDENT ID Table 3 Comparing a Data Warehouse and an Operational Database Table 4 Comparing OLTP DSS and OLAP Databases Table 5 Evolution of data across three server platforms Table 6 Benefits of Data Warehousing Table 7 Limitations of Traditional Tools Table 8 Costs of Data Warehousing Table 9 Evaluation Rules for Multi dimensional Analysis Tools Table 10 Levels of Decision Support Tools Table 11 Checklist for Data Warehousing Success Table 12 Information requirements for specific management areas Table 13 Data Warehouse User and Access Types Table 14 Indicators of Student Performance and Progress Table 15 Cohort Analysis Model Dimensions Table 16 Data Integration Cleanup Issues Table 17 Semantic Differences in STUDENT ID Acknowledgments Used in this report Word Processing Word processing was done using Microsoft Word 7 0a Graphics All diagrams were drawn using Microsoft Word Draw The diagrams were grouped and pasted into SmartDraw 3 0 a shareware program from SmartDraw Software Inc http smartdraw com and exported in Windows Meta File format and in GIF format The WMF files were linked and embedded in the Word document The GIF files were linked to the web version of the report Bibliography A bibliographic database was maintained in Microsoft Access Access reports were written to export this as HTML with hypertext links for the web references and as Word formatted for inclusion in this report Web The conversion to HTML was assisted using WebEdit PRO 2 0 1 for Windows 95 a shareware program from Nesbitt Software Corporation http www nesbitt com Used in the project CASE Visible Analyst Workbench from Visible Systems was used for developing data models for the data warehouse It was used for creating diagrammatic representations of the data warehouse as well as for generating the relational database schema definition Relational Database The data

    Original URL path: http://dheise.andrews.edu/dw/Avondale/ACDWFigs.html (2013-06-13)
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  • Data Warehousing - Executive Summary
    a popular term in the mid 90 s even though the concepts had been practiced in some places for many years The emergence of Data Warehousing as a so called new technology came about for a variety of reasons executive decision making was becoming increasingly dependent on accurate up to date information in order to remain competitive executives and their staffs were being drowned in a flood of detailed information from which it was difficult to plot strategies and analyse trends requests for ad hoc analysis and queries had to be programmed by computer professionals already laboring with a lengthy backlog a multitude of factors prevented executives from performing their own analyses and creating their own enquiries on the data This report documents a study into Data Warehousing and its application to providing management assistance at Avondale College a small independent University in New South Wales Australia The report describes a pilot project at Avondale College which set out to build a data warehouse develop decision support models and implement business intelligence desktop tools Broad Objectives provide a system that assists in clarifying goals and determining strategies provide an information system that is aligned with business goals integrate existing diverse

    Original URL path: http://dheise.andrews.edu/dw/Avondale/ACDWExec.html (2013-06-13)
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  • Data Warehousing - Introduction
    to make the best use of the data resource Transfer programs will be written to automate the replication of data held in existing systems into the new corporate database The database will be designed to be CASMAC 1 compliant so that as legacy systems are replaced they will operate on the new database Given that the initial impetus for this project came at least partly from a management improvement grant it is appropriate to examine briefly the management and decision making processes at Avondale College Owing to its small size Avondale has a relatively simple management structure Figure 1 Management Structure An administrative group consisting of the five people represented in this chart meets weekly It is responsible for tactical and operational policies and procedures as well as strategic planning and long term goal setting It is supported by other management and advisory committees This administrative group and department heads reporting directly to them will be the major users this data warehousing system and its associated desktop tools 1 2 Section Summaries The report opens with an Executive Summary and this Introduction Section 2 lists some of the pressing reasons why Avondale College undertook this Data Warehousing pilot project Section

    Original URL path: http://dheise.andrews.edu/dw/Avondale/ACDW01.html (2013-06-13)
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  • Data Warehousing - Motivation For This Project
    different names or different attributes in each system A simple example is the different ways that student ID can be treated in different systems STUDENT ID PIC 9 10 STUDENT NUMBER PIC 9 5 NAME NUMBER PIC X 6 NAME NUMBER replaces STUDENT NUMBER plus CHECK DIGIT Table 2 Semantic Differences in STUDENT ID 2 3 IT Backlog Because the data is not in a form suitable for user generated analysis enquiry and reporting each request for decision support information requires special routines to be written by programmers The IT department has a large backlog of projects and requests typical of the industry These include requests for modifications bug fixes additional functionality and enhancements to existing systems as well as new projects for replacing legacy systems and adding new systems either through evaluating and implementing packaged software or in house development The demands for accurate and timely management information to support ad hoc enquiries and reports graphical and what if analysis are increasing and the IT backlog continues to grow larger The answers to the questions are held in the data but it is too difficult and time consuming to extract the information needed to find the answers This results in questions not being asked and in duplication of personal information systems with inadequate controls over data integrity and accuracy 2 4 End User Data Access One solution to the problems caused by the IT backlog is to put user oriented reporting and analysis tools in the hands of the users This will assist the decision making process and it will help to realize more of the potential benefit of information systems in meeting the corporate goals The problem is that in its current format corporate data is not accessible via end user tools All of the financial data is

    Original URL path: http://dheise.andrews.edu/dw/Avondale/ACDW02.html (2013-06-13)
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