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2. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   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]

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]

4. Chief data officer - Wikipedia

   en.wikipedia.org/wiki/Chief_data_officer

   This contrasts with the older view of data systems as mere back-end IT systems. More recently, with the adoption of data science the chief data officer is sometimes looked upon as the key strategy person either reporting to the chief strategy officer or serving the role of CSO in lieu of one. This person has the responsibility of measuring ...

5. Glossary of computer science - Wikipedia

   en.wikipedia.org/wiki/Glossary_of_computer_science

   Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...

6. Data mining - Wikipedia

   en.wikipedia.org/wiki/Data_mining

   Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use.

7. Information science - Wikipedia

   en.wikipedia.org/wiki/Information_science

   Information science focuses on understanding problems from the perspective of the stakeholders involved and then applying information and other technologies as needed. In other words, it tackles systemic problems first rather than individual pieces of technology within that system.

8. Data engineering - Wikipedia

   en.wikipedia.org/wiki/Data_engineering

   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.

9. Data processing - Wikipedia

   en.wikipedia.org/wiki/Data_processing

   Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.