Interest is growing among insurers for big data solutions that can help them identify, monitor and manage fraud in their underwriting and claims. Advanced fraud detection and management solutions are helping P&C and life insurers reduce losses by improving the precision and timeliness of fraud
Did you resolve to learn more about big data in 2013? Boost your learning by checking out some new resources you may have missed on IBM Data Magazine. Some of our very own Big Data Hub authors have published pieces on big data topics and solutions.
While “a single version of the truth” might sound reassuring, relying on such a strategy can seriously impede real-time businesses. For many missions, it’s time to embrace a plural version of the truth.
Insurance claims fraud is estimated to account for at least 15 percent of insurance company losses, a cost that impacts the bottom line of every insurer in the industry, and ultimately, consumers as well.
Insurance Bureau of Canada (IBC), Canada’s national insurance industry association for home
Individual fraudsters and organized rings are taking advantage of favorable regulations, overworked adjusters and investigators, and a clogged court system to increase the rates of insurance fraud. Learn what insurance companies are doing to "Outsmart the Insurance Claim Fraudster" in this webcast.
Leading organizations in financial services, telecommunications, retail, healthcare, digital media, insurance and other industries are outperforming their competition by generating new, actionable insights from big data. There are three dimensions in their performance that indicate a correlation
Companies implementing analytics solutions outperform their peers across a range of financial measures – 1.6x revenue growth, 2.0x EBITDA growth, and 2.5x stock price appreciation (State of Smart Report).
For insurers, applying Smarter Analytics to daily decision making offers a huge new