Making Business Intelligence Applications Work in the Insurance Industry

Insurance is such a service, which can extend itscomplexity of computation required, rather they can
scope to every section of the society. From richest tofocus on their core activities and use these techniques
poorest, from big corporate to small individualto achieve unprecedented business edge.
entrepreneur, from space research to agriculture -If we identify one single industry where need of such
take any walk of life, insurance can add lot of valuestechniques is highest, it has to be Insurance industry.
to it by helping in managing the risk. FormulatingThe reason being that Insurance has scope of
strategies for different segments of society and tocoverage in every walk of life and to do it properly in
meet different risk management needs involve lot ofany field, the knowledge level required is as high as
data acquisition, automation of workflow and intelligentthat of that field. Assessing the risk involved, covering
analytics.them and providing value addition to customers in
Many mathematical and statistical techniques, whichvarious industries requires complete understanding of
were confined to remain topics of academic interestthe industry and powerful analytics.
only till recently, have started making increasingIn recent years many Insurance service organizations
contribution in present day services. The reasons beinghave implemented business intelligence solutions with
the availability of high speed computing devices atvarious names, but mostly these solutions are being
affordable cost and the ease, at which large volumeused for generating information reports similar to those,
of business data can be stored, retrieved andwhich were generated before such implementations.
processed. Software companies have flooded theInsurance industry is passing through a very dynamic
automation market with various products and toolsphase and is looking towards Information Technology
with varied names like BI (Business Intelligence), ANNfor solutions beyond workflow automation, MIS and
(Artificial Neural Network), and Data Mining etc. So,data processing systems etc.
business people need not worry about the volume and