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office automation is the transferring of data from one computer to another...........
the basic needs of office automation are, storage, exchange of data and data managements!
data exchange data management
Knowledge work systems and office automation systems serve the information needs at the knowledge level of the organization. , where as office automation systems primary aid data workers (although they are also used extensively by knowledge workers)
Alexia Martin has written: 'Office automation, issues and strategies' -- subject(s): Automation, Electronic data processing, Office practice
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Office Automation system collects, processes, stores and transmits data and information in the form of electronic office communication.Oas could also be considered as computer-based information system that collects, process, store and transmit electronic message, document and other form of communication among individual, work group and organizations.Examples- word processing, electronic mail, desktop publishing, telecommunication and document image processing.
data base means a collection of data,which may be inter related. data base management system is a collection of programs for managing the data base.
Data Warehousing
the difference between manual system and computerized system is manual system is too difficult to organize the data, and also has so Marney duplicate data, and also non-updated, out of search the previous data or record, computerized data system is also updated system and new version, you can able to manage Essie and flaxible that is the different.
Some common problems of office automation include technical issues such as software bugs or system failures, resistance from employees who may be hesitant to adopt new technologies, and potential security risks associated with storing sensitive data digitally. Additionally, there may be challenges in maintaining compatibility with existing systems or integrating new technologies with current processes.
Possible solutions for full office automation include implementing software for task management, communication, and data storage; integrating artificial intelligence for data analysis and decision-making; utilizing robotic process automation for repetitive tasks; and investing in hardware such as scanners and printers for digitizing physical documents. Ultimately, a comprehensive strategy that combines these elements can lead to streamlined operations and increased productivity.