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QUME 380 Final Paper

1682 Words7 Pages

In today’s digital landscape, the integration of technology with business strategy is essential. The QUME 380 course explores how businesses use management information systems (MIS), artificial intelligence (AI), and other information systems (IS) to drive strategic decision-making and enhance operational efficiency. We begin with "Information Systems and Business Strategy," focusing on the crucial role of MIS in navigating competitive environments and optimizing decision support at various organizational levels. This paper highlights the distinctions between IT and IS, the strategic use of systems like DSS, TPS, and EIS, and the impact of AI and big data, exemplified by industry leaders like Netflix and Amazon. This sets the stage for discussing …show more content…

The section explains different systems, including decision support systems (DSS) which are computerized systems that gather and analyze data, transaction processing systems (TPS) a technology that can store and retrieve transactional data, and Executive Information Systems (EIS) that aid decision making processes, the combination of these different systems help with successfully completing daily operations and strategic goals of an organization. With these relying heavily on data, this draws attention to the significance of data quality, highlighting qualities like timeliness, accuracy, and completeness that are essential for obtaining insightful information about operations. Alongside humans and other technological tools, artificial intelligence (AI) is also an important subject, with its astounding ability to do tasks like self learning and problem-solving that are normally associated with human functions. Although there is relevant concern around unemployment due to the automation of artificial technology, there are just as many, if not more, new opportunities that are generated when it is implemented. Through careful data-driven approaches, Business Process Management (BPM) and Reengineering (BPR) can be looked at as ways to improve organizational efficiency. Businesses like Netflix and Amazon are prime examples of how data analytics can improve customer experiences and operational effectiveness. They use big data, which is a type of collectable data that cannot be processed using traditional methods. Knowledge management (KM) creates emphasis on the differences between explicit knowledge, which can be defined, and tacit knowledge, which comes from personal experiences as well as their applications in business environments. The primary focus is on how to integrate the innovative

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