Management Information System KMBN208

Management Information Systems (MIS) a comprehensive and insightful eBook designed specifically for MBA students following the AKTU University syllabus. This book serves as a vital resource for understanding the fundamental concepts and contemporary approaches to Management Information Systems (MIS). With its emphasis on the strategic utilization of information and technology, this eBook equips readers with the knowledge and skills necessary to gain a competitive advantage in the business world.

Note : you ordered is an eBook, so you’ll be able to download it to your device. No hard copy will be mailed.”

Unit 1 delves into the essence of MIS, exploring its significance, purpose, and objectives. It examines the trans formative power of information and its role in driving organizational change. The eBook sheds light on emerging trends in information technology and their impact on organizations, as well as the capabilities and benefits of IT-enabled services. It also highlights the importance of Transaction Processing Systems and their characteristics.

Unit 2, the eBook explores the critical relationship between information, management, and decision making. It discusses the attributes of information and their relevance to effective decision making. The book covers various models of decision making, including classical, administrative, and Herbert Simon’s models. Additionally, it provides an in-depth analysis of Management Support Systems, Decision Support Systems, Group Decision Support Systems, and Executive Information Systems.

Unit 3 focuses on the management of data resources. It outlines the challenges associated with data management and highlights the importance of data independence, consistency, and administration. The eBook introduces readers to Database Management System (DBMS) concepts and different types of DBMS. It also explains fundamental concepts such as fields, records, tables, views, reports, and queries. Furthermore, the eBook explores the characteristics and uses of data warehousing, data mining techniques, and Business Intelligence.