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The role of manager for data processing was not elevated to that of senior management prior to the 1980s. As organizations have recognized the importance of information technology as well as business intelligence, data integration, master data management and data processing to the fundamental functioning of everyday business, this role has become more visible and crucial.
Data administration or data resource management is an organizational function working in the areas of information systems and computer science that plans, organizes, describes and controls data resources. Data resources are usually stored in databases under a database management system or other software such as electronic spreadsheets.
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).
The typical category of research and development that exists in many science and technology companies can be led by either post, depending upon which area is the organization's primary focus. A CSO almost always has a pure science background and an advanced degree, whereas a CTO often has a background in engineering or business development.
Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, ...
A research assistant (RA) is a researcher employed, often on a temporary contract, [1] by a university, research institute, or privately held organization to provide assistance in academic or private research endeavors. Research assistants work under the supervision of a principal investigator or supervisor and typically do not bear direct ...
Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1] [2] Making the data usable usually involves substantial compute and storage, as well as data processing.
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