At a glance
- What it does: SAS describes its insurance fraud solution as a layered framework combining predictive modeling, text mining and network link analysis to identify fraud before claims are paid. Published customer stories include DB Insurance in Korea (network analytics) and the North Carolina Department of Insurance (investigations case tracking).
- Best for: Large carriers and government insurance fraud units with data science teams that want to build and tune their own detection models.
- Not a fit for: Teams that want a prebuilt, insurance-only product live quickly without in-house analytics staff.
- Pricing: Not published (Enterprise)
Pricing
Not published; quoted by sales.
Common questions
How much does SAS Detection and Investigation for Insurance cost?
SAS Detection and Investigation for Insurance does not publish pricing; it is quoted by sales (Enterprise). Not published; quoted by sales.
Who is SAS Detection and Investigation for Insurance best for?
Large carriers and government insurance fraud units with data science teams that want to build and tune their own detection models. It is a weaker fit for teams that want a prebuilt, insurance-only product live quickly without in-house analytics staff.
Is SAS Detection and Investigation for Insurance SOC 2 compliant?
We could not confirm a SOC 2 report for SAS Detection and Investigation for Insurance.
What are the best SAS Detection and Investigation for Insurance alternatives?
Other claims & fraud tools we track include Carpe Data, CCC Intelligent Solutions, Claim Genius, Five Sigma, FRISS. See our SAS Detection and Investigation for Insurance alternatives page for a side-by-side.