- Kathy Joyner on Anti-fraud and error – what does success look like?
- The adventures of Solvency II - The ORSA - Risk Management on The adventures of Solvency II
- Operationalizing a fraud detection solution - Risk Management on Insurers tackle thorny issues in fraud detection and prevention
- David Rogers on Board of directors’ dashboards – Navigation or naiveté
- Waynette Tubbs, Editor on JPMorgan’s loss bigger than ‘risk management’
Analytics are helping governments move to a pre-payment fraud prevention approach, as opposed to the current and ineffective “pay and chase” strategies.
Auto insurance scams account for an estimated 25% of all auto insurance claims. Delving in to the mind of an insurance scammer is one step to protecting against fraud.
Big data can be a bad thing – if you can’t see the knowledge locked inside. That is particularly important when you are trying to see possible relationships and linkages. Cyber security is an area where data visualization technology would help uncover those linkages in a way that everyone can understand, even those without a statistics degree.
Other Recent Features
When IT execs talk about big data, they say they have to start with baby steps; they have to get buy in from many areas of the organization. Here are some of their tips for getting both IT and executives on board with analytics implementations and data governance policies that will help the organization make the most of data.
A lot of what Solvency II addresses is improving transparency across the firm, between the firm and its regulators, and with the customer. SAS recommends these six data quality process steps to support Solvency II initiatives.
Do you know how your data gets to your desktop each morning? Do you know where it comes from? The Solvency II directive has made the question of where and how very important to insurers and resurers across Europe.