NCIB Reports 27% Increase in Questionable ClaimsMay 17, 2013Insurers are responding to increased fraud activity with more anti-fraud technology budget, aimed at detecting potentially fraud as early as possible in the claims lifecycle.
Big Data for Fraud DetectionMay 16, 2013Insurers have lots of data, and they are finding new ways to leverage it. High-performance analytics technology is inspiring a whole new set of fraud detection capabilities.
CUNA Mutual Uses SAS for TruStage Agency Customer Contact StrategyMay 15, 2013Using advanced regression techniques, CUNA Mutual has developed improved models to target customers in direct business, resulting in better customer satisfaction, increased revenue and reduced cost.
Tapping the Benefits of Text Mining for FraudFebruary 21, 2013Text analytics can bridge the gap between structured and unstructured data, opening up the benefits of text mining for fraud detection.
Cost Shifting: A Fresh Look at Soft FraudNovember 25, 2012While safety has increased and frequency of injury has decreased, severity of injuries has increased, suggesting that medical providers are shifting costs from government and private health payers to casualty insurers.
Big Data: Technical or Organizational Problem?October 22, 2012With the “big data” buzz, focus has zeroed in on technical solutions to increase flow of information. But what are the organizational considerations that insurers need to make? Where does big data fit into data management strategies?
Insurers Hit the Underwriting Mark With Big DataOctober 11, 2012While insurers are still in the early stages of adopting big data for underwriting, those that can hit the target now are likely to outpace their competitors -- if they can get the insight into the hands of decision makers.
XL Adopts SAS Visual Analytics to Get a Jump on Big Data's PotentialSeptember 17, 2012The SAS tool will foster a partnership of exploration between XL's analytics team and underwriters to leverage data for "enormous" competitive advantage and shareholder value, says XL SVP.
Reinsurers Must Optimize Data Utilization to Maximize ProfitabilitySeptember 17, 2012Many reinsurers fail to fully utilize their data, leaving open the potential to make costly mistakes regarding what business they book, how they allocate capital and how they prepare for changes in the market.
Operationalizing a Fraud Detection Solution: Buy or Build?August 20, 2012Homegrown solutions allow total control over development, but insurers often discover that the total cost of ownership for a fraud detection solution is lower with a vended solution.
Navigating the "New Normal"June 29, 2012In a business environment of changing customer and regulatory demands and challenging economic realities, insurers need to respond, and we have to respond profitably, quickly and flexibly to change with more customer-centric business models.
