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.
Existing customers are worth retaining. Organizations have the ability to cross-sell and up-sell to their existing customers, which is why these organizations must keep in mind a customer’s lifetime value.
Integrity within social governmental agencies can be a big problem in the digital age. City, state and federal agencies can lose huge sums of money to errors, waste and abuse. Analytics can go a long way in helping these agencies validate claims and minimize the potential for fraud. Having read
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the