=> First talk
-> undergraduate minor in data analytics
->Analytics becomes the value driver:
raw data ^& report = value
linking of multiple data source
predictive model, internal attrribute == trusted parter status
predictive attributes, insights == stickness and value
-> credit score modeling
-> insurance risk
-> insurance fraud detection, network based analysis, temporal information, identify potential ring leader.
-> vehicle risk, telematics
trip complexity: right-to-left ratio, local speeding, highway speeding, road feature, weather, hard breaking, night driving,
-> location risk in property insurance
weather-related peril, geo-spatial intelligence
-> life mortality modeling vs traditional accural model
factors: life style, MVRs, credit, prescription history, gender, age-buckets
-> Success in Data Analysis: understand what matters, details matter, understand connections, execution is key, learn the language.
-> drone technology may bring chagnes.
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