Management Information System for SPPU 20 Course (SE - SEM IV -Artificial Intelligence and Data Science) - 217530

Management Information System for SPPU 20 Course (SE - SEM IV -Artificial Intelligence and Data Science) - 217530 (Paperback, V. S. Bagad)

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Management Information System for SPPU 20 Course (SE - SEM IV -Artificial Intelligence and Data Science) - 217530  (Paperback, V. S. Bagad)

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    Highlights
    • Binding: Paperback
    • Publisher: TECHNICAL PUBLICATIONS, PUNE
    • ISBN: 9789355850287
    • Edition: SECOND, 2023
    • Pages: 164
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  • Description
    Unit I : An Overview of Management Information System Management information system : Concept, MIS : Definition, Role of MIS, Impact of MIS, MIS & the User, Management as a Control System : The functions of Management, Managerial Roles, The Levels of Management[R3]. MIS : A Support to the Management, Management effectiveness and MIS, Organization as a System. Decision Making, Information, Knowledge and Business intelligence, Business intelligence for MIS. (Chapter - 1) Unit II : Organization, Management and Network Enterprise Information systems in today’s global business : The Role of information system, Perspective’s on Information System. Global E-business and collaboration : Business Processes, Types of Information Systems. System for Collaboration and Team Work : Tools and technologies for collaboration and team work, E-mail and Instant Messaging, Social Networking, Virtual worlds, Internet based Collaboration Environments. Information system organization and strategy, Ethical and social issues in information system. (Chapter - 2) Unit III : Information Technology Infrastructure IT infrastructure and Emerging Technologies : IT infrastructure and its components, Hardware and software platform trends, Management issues. Foundation of Business intelligence : Databases and information management. Telecommunication, The Internet and Wireless technology, Securing information systems : system vulnerability, Business value of security and control. (Chapter - 3) Unit IV : Key System Applications for Digital Age Achieving operational Excellence and customer intimacy : Enterprise Applications, E-Commerce : Digital Markets and Digital Goods, Managing knowledge, Enhancing Decision Making, Building information Systems, Managing project : The importance of project Management, the business value of information systems, Managing project risk, Managing Global Systems : The growth of international information systems, organizing international information systems, Technology issues and opportunities for global value chain. (Chapter - 4) Unit V : Business Applications Introduction to e-business systems : Functional Business systems, cross functional Enterprise systems. Customer Relationship Management : The Business focus, Enterprise Resource Planning : The business backbone, Supply chain Management : Business Network. Electronic Commerce Systems : Fundamentals, e-commerce applications and issues. Decision support systems : Decision support in Business, DSS Components, Decision Supports Trends, OLTP, Data Mining for Decision Support, Knowledge Management System. (Chapter - 5) Unit VI : Artificial Intelligence & Data Science for MIS Business and AI, An overview of Artificial Intelligence, Neural Network, Fuzzy Logic System, Genetic Algorithms, Virtual Reality, Intelligent Agents, Expert Systems : Components, Applications, Developing Expert Systems, The Value of Expert Systems : Benefits & Limitations. MIS in Data Science : Transition into data science for a Business Intelligence (BI)/MIS professional : performing detective analytics and generate insights from reports, statistics to support your insights about reports, present your findings to the right group, explore an open-source tool to generate reports OR to perform detective analysis, the model building / predictive modeling steps, Methods to evaluate your model’s performance. (Chapter - 6)
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    Book Details
    Publication Year
    • 2023
    Number of Pages
    • 164
    University Books Details
    Degree/Diploma
    • DEGREE
    Additional Features
    Age Group
    • 18 TO 60
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