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Analytics

Page history last edited by Dmitry Sokolov 5 years, 2 months ago

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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


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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

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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

Pages in Other Languages

Categories:

Financial data analysis

Business terms

Big data

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