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In view of knowing the essence of phenomena it is necessary to perform statistical data processing operations. This allows for shifting from individual data to derived, synthetic indicators that highlight the essence of various phenomena. The high volume and diversity of processing operations presuppose developing plans of computerised data processing.
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Data technology (DT) is newly defined apart from Information Technology (IT). Major territory for DT is outlined along with its roles for the information society. DT is concerned primarily with data collec- tion, analysis of data, generation of information and creation of knowledge. On the other hand, IT is mainly concerned with transmission and commu- nication of data, and development of engineering devices for information handling. The roles of DT for knowledge creation from raw data are explained step- by-step. In order to exploit the DT concept for solving practical problems in a process or a product, a 6 step working flow is suggested. Loss due to poor DT is mentioned with two examples. In addition, e-Statistics is proposed as one of major vehicles for promoting the roles of DT. Overall, DT is explained as a new concept for broadened application of statistical science as a key technology for impacting global competition in the 21st century socio-economic environment.
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