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The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement.
Predictive analytics is used in [[actuarial science]],<ref name="Conz">{{citation|last=Conz|first=Nathan|title=Insurers Shift to Customer-focused Predictive Analytics Technologies|url=http://www.insurancetech.com/business-intelligence/210600271|magazine=Insurance & Technology|date=September 2, 2008|access-date=July 2, 2012|archive-url=https://web.archive.org/web/20120722013733/http://www.insurancetech.com/business-intelligence/210600271|archive-date=July 22, 2012|url-status=dead}}</ref> [[marketing]],<ref>{{citation|last=Fletcher|first=Heather|title=The 7 Best Uses for Predictive Analytics in Multichannel Marketing|url=http://www.targetmarketingmag.com/article/7-best-uses-predictive-analytics-modeling-multichannel-marketing/1#|magazine=Target Marketing|date=March 2, 2011}}</ref> [[business administration|business management]], sports/[[fantasy sports]],<ref>{{citation|last=Korn|first=Sue|title=The Opportunity for Predictive Analytics in Finance|url= http://www.hpcwire.com/hpcwire/2011-04-21/the_opportunity_for_predictive_analytics_in_finance.html|magazine=HPC Wire|date=April 21, 2011}}</ref> [[insurance]],<ref>{{Cite journal|last1=Cevolini|first1=Alberto|last2=Esposito|first2=Elena|date=2020-07-01|title=From pool to profile: Social consequences of algorithmic prediction in insurance|url=https://doi.org/10.1177/2053951720939228|journal=Big Data & Society|language=en|volume=7|issue=2|pages=2053951720939228|doi=10.1177/2053951720939228|s2cid=225344235|issn=2053-9517}}</ref> [[Predictive policing|policing]],<ref>{{Cite journal|last1=Heimstädt|first1=Maximilian|last2=Egbert|first2=Simon|last3=Esposito|first3=Elena|date=2020|title=A Pandemic of Prediction: On the Circulation of Contagion Models between Public Health and Public Safety|url=https://sociologica.unibo.it/article/view/11470|journal=Sociologica|language=en|volume=14|issue=3|pages=1–24|doi=10.6092/issn.1971-8853/11470|s2cid=234964107|issn=1971-8853}}</ref> [[telecommunications]],<ref name="Barkin">{{citation|last=Barkin|first=Eric|title=CRM + Predictive Analytics: Why It All Adds Up|url=http://www.destinationcrm.com/Articles/Editorial/Magazine-Features/CRM---Predictive-Analytics-Why-It-All-Adds-Up-74700.aspx|magazine=Destination CRM|date=May 2011}}</ref> [[retail]],<ref>{{citation|last1=Das|first1=Krantik|last2=Vidyashankar|first2=G.S.|title=Competitive Advantage in Retail Through Analytics: Developing Insights, Creating Value|url=http://www.information-management.com/infodirect/20060707/1057744-1.html|magazine=Information Management|date=July 1, 2006}}</ref> [[travel]],<ref>{{citation|last=McDonald|first=Michèle|title=New Technology Taps 'Predictive Analytics' to Target Travel Recommendations|url=http://www.travelmarketreport.com/technology?articleID=4259&LP=1,|magazine=Travel Market Report|date=September 2, 2010|url-status=dead|archive-url=https://web.archive.org/web/20150910175014/http://www.travelmarketreport.com/technology?articleID=4259&LP=1,|archive-date=September 10, 2015}}</ref> [[Economic mobility|mobility]],<ref>{{Cite journal|last1=Moreira-Matias|first1=Luís|last2=Gama|first2=João|last3=Ferreira|first3=Michel|last4=Mendes-Moreira|first4=João|last5=Damas|first5=Luis|date=2016-02-01|title=Time-evolving O-D matrix estimation using high-speed GPS data streams|url=http://repositorio.inesctec.pt/handle/123456789/5315|journal=Expert Systems with Applications|volume=44|pages=275–288|doi=10.1016/j.eswa.2015.08.048}}</ref> [[healthcare]],<ref>{{citation|last=Stevenson|first=Erin|title=Tech Beat: Can you pronounce health care predictive analytics?|url=
One of the best-known applications is [[credit scoring]],<ref name="Nyce" /> which is used throughout [[business administration|business management]]. Scoring models process a customer's [[credit history]], [[loan application]], customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.
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