data analytics - определение. Что такое data analytics
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Что (кто) такое data analytics - определение

DISCOVERY, INTERPRETATION, AND COMMUNICATION OF MEANINGFUL PATTERNS IN DATA
Data analytics; People Analytics; Digital analytics; Portfolio analytics; Risk analytics; Security analytics

Analytics         
·noun The science of analysis.
Data analysis         
  • Data science process flowchart from ''Doing Data Science'', by Schutt & O'Neil (2013)
  • The phases of the [[intelligence cycle]] used to convert raw information into actionable intelligence or knowledge are conceptually similar to the phases in data analysis.
  •  doi=10.3166/lcn.10.3.37-54}}</ref>
  • A time series illustrated with a line chart demonstrating trends in U.S. federal spending and revenue over time.
  • A scatterplot illustrating the correlation between two variables (inflation and unemployment) measured at points in time.
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ACTIVITY FOR GAINING INSIGHT FROM DATA
Data Analysis; Data analyst; Data Interpretation; Data-analysis; Information analysis; Data Analytics; Free software for data analysis; Algorithms for data analysis; Analyze data
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.
International Journal of Data Science and Analytics         
COMPUTER SCIENCE JOURNAL
Draft:JDSA; Draft:International Journal of Data Science and Analytics; International Journal of Data Science & Analytics
The International Journal of Data Science and Analytics is a peer-reviewed scientific journal covering data science. It was established in 2015 and is published by Springer Science+Business Media.

Википедия

Analytics

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics. Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. According to International Data Corporation, global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021. As per Gartner, the overall analytic platforms software market grew by $25.5 billion in 2020.