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disadvantages of mis

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What are the advantages and disadvantages of management information system?

MIS describes computer systems designed for management needs. Unlike other information systems, MIS analyzes, strategically plans, and uses operational activities. Procedures to create such a system include design, development, and documentation.


What is the difference between MIS and IMS?

MIS (Management Information Systems) refers to the technology and systems used for managing and analyzing information within an organization to support decision-making. IMS (Information Management System) is a type of database management system used for managing and organizing information in mainframe computing environments. In summary, MIS deals with management of information systems while IMS is a specific type of database system.


What are the advantage and disadvantage of knowledge management system in MIS?

Knowledge management systems help to improve organisational agility which drives business agility. It helps for quick decision making and problem-solving. You can witness a growth in innovation. One good advantage is sharing of expertise. Business processes can be improved. All of these are possible with better communication.


Difference between mis and data processing?

MIS (Management Information Systems) refers to the use of information systems to aid in managerial decision-making. It involves the collection, processing, and analysis of data to generate meaningful information for management. Data processing, on the other hand, is a broader term that refers to the manipulation and transformation of data to produce useful information. It includes activities such as data entry, validation, sorting, summarizing, and generating reports. MIS is a specific application of data processing within a managerial context.


How Data warehousing and Data Mining is useful in terms of MIS?

Data warehousing and data mining contribute to Management Information Systems (MIS) by providing a centralized location for storing and accessing data, enabling users to run complex queries and generate reports for strategic decision-making. Data mining techniques help uncover patterns and trends in the data, allowing organizations to gain valuable insights and make informed decisions based on the information retrieved from the data warehouse. Ultimately, these tools enhance the effectiveness of MIS by facilitating more efficient data analysis and interpretation.