Predictive analytics and business intelligence adoption in general insurance (for claims management)

Rosemary A Onyango

Predictive analytics and business intelligence adoption in general insurance (for claims management)

Eastern Illinois University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Default journal
State	Published - Oct 1 2014

Disciplines

Statistics and Probability
Business
Library and Information Science
Business Intelligence

Cite this

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title = "Predictive analytics and business intelligence adoption in general insurance (for claims management)",

author = "Onyango, {Rosemary A}",

note = "In conducting their day-to-day businesses, insurance companies are faced with both critical and non-critical decisions mainly on fraud management, claims management, actuarial management, and customer relationship management. These decisions are best supported by analytics and business intelligence and are mainly driven by proper claims management.",

year = "2014",

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language = "American English",

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TY - JOUR

T1 - Predictive analytics and business intelligence adoption in general insurance (for claims management)

AU - Onyango, Rosemary A

N1 - In conducting their day-to-day businesses, insurance companies are faced with both critical and non-critical decisions mainly on fraud management, claims management, actuarial management, and customer relationship management. These decisions are best supported by analytics and business intelligence and are mainly driven by proper claims management.

PY - 2014/10/1

Y1 - 2014/10/1

UR - http://erepository.uonbi.ac.ke/handle/11295/90647

M3 - Article

JO - Default journal

JF - Default journal

ER -

Predictive analytics and business intelligence adoption in general insurance (for claims management)

Disciplines

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Cite this