Data sources Flashcards
(7 cards)
Publicly available data
- data collected in relation to the
population of a country as a whole - includes data on government
inflation, employment and
population statistics - labour and economic data
- data from other countries
- regulatory data
- industry data
- company published data
- national statistics
- competitor published data
Internal data (company data)
- product providers need info in
relation to individuals they provide
cover for - quantity and quality of this data is
essential - quantity : data groups will either be
non-homogenous or lack credibility - quality : insurers that the results
produced are reliable
Industry wide data collection schemes
- summaries are made by
organisations that collect data - these cannot be used in place of
policy data to establish provisions
for policy - but could be used to determine
( useful for
new small insurers-lack internal
data )
Other external resources - Reinsurers
Normally provide cover to insurers
in different territories
- Can provide useful data and
information to insurers launching
new products , or wish to sell
existing product to new target market
- This data may assist in pricing and
reserving especially when own data
and experience is limited
Potential benefits from using industry wide data
Can compare own experience with that of the industry as a whole with regards to
▪ Overall level and pattern of the experience by categories in which data are
classified
Possible reasons for heterogeneity (industry data)
There is risk for possible distortions arising from heterogeneity
- Data supplied by different organisation may not be comparable because of :
▪ Companies operate in different geographical or
▪ Different socio-economic sections of the market ( target market )
▪ Policies sold by the diff companies may not be identical ( different terms ,
options and features )
▪ Sales methods may not be identical ( different distribution channels )
▪ Company may be having different practices e.g. underwriting or claim ata
stored by two companies may be different
▪ Coding used for risk factors may vary organisation from organisation
- This raises the need to be careful when interpreting industry data ( it may not be
relevant )
Problems with industry wide data vs internal data
▪ Data will be less detailed than those available internally
▪ Data will be less flexible than those available internally
▪ External data are often more out of date than internal data
▪ The data quality will depend on the data systems quality of all its contributors
▪ Not all organisations contribute ( not representative of the market as a whole)