https://en.wikipedia.org/wiki/Analytics
For the ice hockey term, see Analytics (ice hockey).
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially 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 predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, credit risk analysis, and fraud analytics. 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.[1]
See Also
Links
https://en.wikipedia.org/wiki/Category:Analytics
https://en.wikipedia.org/wiki/Category:Types_of_analytics
Subcategories
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► Business analytics (4 P)
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► Web analytics (2 C, 90 P)
Pages
How to Lie with Analytics
Analytics
A
Attention marketing
C
CBIG Consulting
CoolaData
Currency analytics
D
Decision Model and Notation
F
Fantain
Flutura Decision Sciences and Analytics
I
IMatchative
IT Operations Analytics
E
Embedded analytics
L
Learning analytics
P
Prescriptive analytics
S
Social media analytics
M
Makridakis Competitions
MIT Sloan Sports Analytics Conference
Mixpanel
Mobile Location Analytics
Mu Sigma Inc.
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Noetix
O
Online video analytics
ORCA (computer system)
P
Predictive Analytics
Project Houdini
Project Narwhal
R
RCASE
Revenue management
Rushmore Drilling Index & Estimated Drilling Days
Rushmore Reviews
S
Segment (company)
Serpstat
Sports rating system
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Categories:
Financial data analysis
Business terms
Big data
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