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Who is a data processing manager?
The data processing manager is the coordinator, planner, and supervisor of systems and software application activities. They also handle the organization of data processing activities.
What is meant by an EDP Manager?
An EDP Manager, or Electronic Data Processing Manager, is responsible for overseeing an organization's data processing operations and ensuring efficient data management and information systems. This role involves coordinating IT resources, managing data processing personnel, and implementing technology solutions to optimize data handling. Additionally, an EDP Manager ensures data integrity, security, and compliance with relevant regulations while addressing the organization's data-related needs.
What is EDP manager in system analysis and design?
Electrical Data Processing
What are the 2 areas of data processing?
Business data processing and Scientific data processing.
What are the categories data processing?
What are the two areas of data processing?
What is electronic data processing?
The example of electronic data processing is the use of the computer in processing data.
Relevance of online analytical processing to a manager?
relevance of on-line analytical processing Relevance of online analytical processing to a manager?
What are the areas of data processing?
1. business data processing 2.scientific data processing ako si jayveelim ang data processing
Who is Employment processing manager?
Dr. C. Smith is emplyment processing manager of petronas oil
What is the important of data processing?
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
What ate the different between manual data processing and electronic data processing?
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
What are the objectives of data processing?
The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.
