AI & DATA
“ By its experimental and iterative nature , data and analytics modelling is a key enabler of [...] persistent innovation ”
— Norman Black , EMEA Insurance Solutions Director , SAS
72 also supports a wide range of specialist capabilities , including statistical analysis and forecasting , text analytics and optimisation and simulation .
Finally , in support of operational deployment and ultimately decision making , SAS supports a wide range of solutions that enable insurers to deploy , manage and monitor their analytics . Industry domain content is embedded into SAS ’ fraud , risk , and customer experience solutions . This includes prebuilt data models , data transformations , purpose-built algorithms , and personabased workflows and interfaces . These expand decisioning criteria , precision and accelerate time to value .
Q : Another aspect of analytics is security . How does SAS ’ software mitigate risk and optimise operations ?
A : Most insurance data is highly sensitive , whether for commercial reasons or for reasons of customer confidentiality under GDPR . To avoid the risk of reputational and commercial damage , insurers must manage the security , auditability and overall governance of their data and analytics processes .
NOVEMBER 2020