Hi All,
Sorry to post this year, as this is not technical,
But one of current client is planning to move away from SAS VA as its only used for reporting, however we are tryign to build a use case around exploration inorder to get them excited and understand the immense potential of SAS VA.
hence wanting to know if there is any case studies / documentation one can share on how SAS VA can be used in Insurance Industry , the client primarily deals in motor vehicles.
Apologize once again for posting an non technical query
cheers
Ron
There's a VA Demo that from a screen shot at least seems to cover insurance and motor:
But for the use case, I think that if you contact SAS they should be highly interested in helping you...
Hi LinusH,
Thanks so much for the prompt response, Yes , did check on the google , tried to see the forum papers , and have also visited the link mentioned by you, but kind of looking for something a bit more detailed, I know its too much of an ask, but just want to make the right impact.
Regarding reaching out to SAS, we did drop a note to the Account Manager and the relevant SAS VA lead, but i guess, since this is an sold account, the interest to help an SI is not top priority.
Thus resorting to the forum to check if any help can be available.
Hi,
I think non-technical queries are fine also! Although, probably they are not easy to answer, since in the end, the decision is yours, there not always a one-way solution.
If you google a bit, you can find interesting things. Please let me share with you what I found after 1 min googling:
General : SAS Visual Analytics Demo for Insurance Companies (Youtube): https://www.youtube.com/watch?v=CneV8t_uurU&index=15&list=PLVBcK_IpFVi86GuTpnzE4I1lmYOYP_f6e
You can show also show some basic analytics through forecast and decission trees:
https://www.youtube.com/watch?v=O7IckMthQao&index=3&list=PLVBcK_IpFVi86GuTpnzE4I1lmYOYP_f6e
https://www.youtube.com/watch?v=TGrmpeJIUeg&index=4&list=PLVBcK_IpFVi86GuTpnzE4I1lmYOYP_f6e
SAS VA Case for Fraud: https://www.youtube.com/watch?v=SfZY0CmzMoM
And nore videos: https://www.youtube.com/playlist?list=PLVBcK_IpFVi86GuTpnzE4I1lmYOYP_f6e
There is a pre-generated report for Risk and Profitability for Insurance industry: http://www.sas.com/en_sg/software/business-intelligence/visual-analytics/demo/risk-and-profitability...
I would definitely read some Customer Stories as Success stories as published in the SAS site: http://www.sas.com/en_us/customers.html#insurance
And I don;t know if you can find something you really want there, but SAS also publishes the White Papers divided by industry: http://www.sas.com/en_us/whitepapers.html#insurance
I Hope this can help a bit.
Best regards,
Juan
Totally agreed with @LinusH. If you want to make your business case as strong as you can, better align first with SAS.
Additionally, this link https://www.sas.com/content/dam/SAS/en_us/doc/solutionbrief/insurance-visually-explore-our-data-1057... explains perfectly in 2 pages the problems to solve and the solutions provided by SAS Visual Analytics in an Insurance company:
SAS® VISUAL ANALYTICS IN INSURANCE
Customer issue management
SAS Visual Analytics lets you run variable explorations against the entire customer database, plus external data, to find the best variables to use in models for the next best offer in support of your segmentation, retention and customer value objectives.
Telematics
As PAYD becomes more widely available, SAS Visual Analytics will let you visually explore billions of records/journey points and seek correlation on data sets to develop predictive models for accurately determining risk factors for pricing and claims.
Product pricing
SAS Visual Analytics enables more frequent variable exploration for finding subtle and nonintuitive relationships that can influence product pricing. You can use visualization to create geographical risk exposure reports by augmenting existing policy data with geospatial data to assess and monitor exposure by geographic region.
Claims analytics
SAS Visual Analytics helps you lower loss ratios and reduce expenses by exploring your claims data to develop models for improving fraud detection, increasing claims recovery and identifying litigation propensity
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