As criminals adopt increasingly sophisticated approaches to fraud across all industries, counterfraud solutions must rise to meet the challenge. Attend IBM Insight to discover how you can protect your business by implementing advanced analytics and predictive analytics solutions.
September was a whirlwind of activity around Labor Day, back to school and the kickoff of fall conferences. Here is a recap of the top financial stories published on the IBM Big Data & Analytics Hub in September. Catch up on what you may have missed.
With the increasing sophistication of fraud attacks, businesses that don’t take fraud seriously do so at their peril. Adopting four best practices can help organizations combat cyber attacks and protect their assets.
The safety of personally identifiable information (PII) is becoming more precarious as criminals find ways to profit from scams. However, insurance agencies are fighting back by using big data more effectively to uncover nefarious schemes.
The IBM i2 Summit for a Safer Planet illuminated how fraud and crime in the financial sector are highly profitable and very damaging to the industry. Organizations facing the challenges of staying one step ahead of perpetrators can apply an advanced solution that places layers of analytics across
When combating smart criminals, smart analytics is one tool that the financial sector can’t afford to ignore. Not only by avoiding the direct effects of fraud but by avoiding regulatory costs, context-based computing can help banks evaluate the legitimacy of entities and identify their connections
If you took a vacation during August, as did many people, you probably need a summary of the great web content you may have missed. Here’s a recap of the top financial stories published on the IBM Big Data & Analytics Hub in August.
Customer-centric banking is providing tangible benefits to banks that want to increase customer lifetime value. By understanding your customers as individuals, you can tailor your marketing offers according to their needs and preferences.
In claims resolution, speed and efficiency are paramount. Just as drivers choose the optimal racing lines to put together the fastest lap during qualifying, insurers also must optimize their claims resolution process to avoid being overtaken by a competitor. Don’t be the insurer who is left in a
Predictive analytics may be the competitive edge your company needs to stay ahead. It operates ahead of the speed of business, allowing you to make more intelligent decisions for your company’s future. Read on to see seven reasons why your business should be employing predictive analytics today.
Where can customers go when they need help with their insurer? How can insurers boost customer retention? Just ask Annie Analytics. Annie has all the answers for enhancing customer retention and insurance services offerings through the application of analytics.