1. Describe four data mining applications is retailing and logistics.(answer in ch5-slide11) 1- Optimize inventory levels at different locations 2- Improve the store layout and sales promotions 3- Optimize logistics by predicting seasonal effects 4-Minimize losses due to limited shelf life 2. List the six steps in a CRISP-DM (Cross-Industry Standard Process for Data Mining). (answer in ch5-slide16)
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Explain how businesses can benefit from each technology. i. Autonomic computing The computer system have self-management capabilities. An autonomic computing system must include the following features: monitoring‚ analysis‚ planning‚ implementation‚ and Knowledge Base‚ and several parts constitute a circulatory system. They need to constantly run and perfect. The goal of autonomic computing can automatically manage itself and maintain its reliability. It is able to work autonomously intelligent
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UNIVERSITY OF BRADFORD & MDIS IN TASHKENT Course name: BSc in Business Computing Subject title: Decision Support Systems Student Name: | Sidikov Khasan | UBU Number: | 11033772 | Lecturer: | Cyril Antony | Module Name: | Decision Support Systems | Batch # | 410 | | | \ Report 1. What is the Net Present Value of the garage’s cash flow with and without the platform? Net present Value of the Garage’s cash flow with Platform: NPV = £ 173‚614 Net present Value of
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Individual Phone Plan Selection DSS Requirements Specification Revision 0 Review and Approval Prepared By: Date: Analyst‚ IT/IS Table of Contents 1 DSS OVERVIEW 5 1.1 Purpose 5 1.2 Decision Environment 5 1.3 Users 5 1.4 Approach 5 1.5 Desired Outcome 5 1.6 Justification 5 1.7 Constraints/Assumptions/Dependencies
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on the characteristics of DSS and BI and explain why DSS were developed mostly in the academic world; and BI were developed mostly by software companies? Student name: Nguyen Huu Hoang Tho ID: 97731331 HANOI-2008 Table of Contents 1 Background 2 2 Content 2 Model-driven DSS 4 Data-driven DSS 4 Business Intelligence 5 Analysis of the DSS-BI connection 6 3 Conclusion 7 4 Reference 8 The characteristics of DSS and BI Background
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Memorandum To: Richard Warner‚ CEO iWave Computers CC: Kathy Smith‚ CFO From: DSS Consulting Firm Date: 4/19/2031 Re: Production Plan Recommendation Our consulting firm has exclusively prepared two profitable computer assembly production plans for your next 12 calendar months. We have meet your policy constraints‚ including workforce‚ inventory‚ overtime‚ hiring‚ firing‚ and demand. We have valuated all your cost including and find that these to plans have a very profitable outcome. According
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MIS: Sinosteel strengthens business management with ERP applications 1) What is the business of Sinosteel‚ what are its major challenges‚ and how would an ERP system address the challenge they face? Sinosteel is a company that is in charge of producing and processing metallurgical mineral resources‚ trading and logistics raw materials and products‚ and it is also related engineering technical service and equipment manufacture. The company is decentralized (it has many subsidiaries)‚ while its
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Enterprise Resource Planning Systems 1 Problems with Non-ERP Systems In-house design limits connectivity outside the company Tendency toward separate IS’s within firm lack of integration limits communication within the company Strategic decision-making not supported Long-term maintenance costs high Limits ability to engage in process reengineering 2 Traditional IS Model: Closed Database Architecture Similar in concept to flat-file approach data remains the property of the application
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Assignment 1 ERP Characteristics of ERP Solution :- Modular structure Scalable architecture Seamless integration of modules RDBMS independent Independence of hardware platform Interface capabilities PC download/upload facility Advantages of ERP (Enterprise Resource Planning) System: 1. Complete visibility into all the important processes across various departments of an organization (especially for senior management personnel). 2. Automatic and coherent work-flow from one
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1. Explain the concept and purpose of marketing information (MIS) and decision support (DSS) systems (One paragraph). A marketing information system (MIS) brings together disparate items of data into a coherent body of information. An MIS also provides methods for interpreting the information the MIS provides. A marketing information system is a continuing and interacting structure of people‚ equipment and procedures to gather‚ sort‚ analyze‚ evaluate‚ and distribute pertinent‚ timely and accurate
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