The two areas of data processing are business data processing and scientific data processing.
From sets of unorganized fact, data processing through the computer program enters, records, analyze, summaries and record the data. Subsequently, the data gathered are turn to practical and functional information. The process is automated and run by a computer. The data processing is converted to a machine readable format and processes like data summarization, data aggregation, data validation, data tabulation and statistical analysis are used by the computer to complete the processing.
Business data processing is helpful and efficient tools in accounting, business management and financial institutions among others. It is a systems device which makes businesses more competitive and successful. It deals with the administration processes of the company to being of service to its customers and clients. It incorporates Information Technology with business models like Total Quality Management and Continuous Improvement and Six Sigma, and the employees work processes and activities.
It is an efficient and cost effective tool especially for businesses which deals with information database and have certain processes and end results. The business data processing is ideal to government offices, insurance companies, utilities businesses and banks among others. This is because, these sectors primarily deal with forms and information to achieve end results like a loan or a business license as the case may be. The business data processing helps these sectors thorough its specialized network infrastructure to support the systems by automating, collecting and storing the data provided.
Meanwhile, the scientific data processing deals in processing scientific data and methods. It processes the results of an experiment and at the same time, the program retrieve, classify and transform relevant and necessary information in the particular field of research. Through established scientific and computer processes, the data which have set of variables, observation and measurements, the data are stored and was correspondingly translated to valuable information in a specific scientific research. The process is highly efficient in research as well as in archiving previous data.
From sets of unorganized fact, data processing through the computer program enters, records, analyze, summaries and record the data. Subsequently, the data gathered are turn to practical and functional information. The process is automated and run by a computer. The data processing is converted to a machine readable format and processes like data summarization, data aggregation, data validation, data tabulation and statistical analysis are used by the computer to complete the processing.
Business data processing is helpful and efficient tools in accounting, business management and financial institutions among others. It is a systems device which makes businesses more competitive and successful. It deals with the administration processes of the company to being of service to its customers and clients. It incorporates Information Technology with business models like Total Quality Management and Continuous Improvement and Six Sigma, and the employees work processes and activities.
It is an efficient and cost effective tool especially for businesses which deals with information database and have certain processes and end results. The business data processing is ideal to government offices, insurance companies, utilities businesses and banks among others. This is because, these sectors primarily deal with forms and information to achieve end results like a loan or a business license as the case may be. The business data processing helps these sectors thorough its specialized network infrastructure to support the systems by automating, collecting and storing the data provided.
Meanwhile, the scientific data processing deals in processing scientific data and methods. It processes the results of an experiment and at the same time, the program retrieve, classify and transform relevant and necessary information in the particular field of research. Through established scientific and computer processes, the data which have set of variables, observation and measurements, the data are stored and was correspondingly translated to valuable information in a specific scientific research. The process is highly efficient in research as well as in archiving previous data.
