analytics
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14 sectionsContents
- Analytics vs analysis
- Applications
- Marketing optimization
- People analytics
- Portfolio analytics
- Risk analytics
- Digital analytics
- Security analytics
- Software analytics
- Challenges
- Risks
- See also
- References
- External links
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Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. Analytics 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.