Banking fraud is costing billions of dollars, but fraud and financial crime no longer have to be an accepted as a cost of doing business. Prevent, detect and mitigate fraud and financial crime with an analytics solution specifically designed for the banking industry.
Banks need a good strategy to keep from being blitzed by money laundering. Banking analytics can give financial institutions the offensive strength to put money laundering on the run—and keep it that way.
Satisfying the high expectations of customers in banking and clients in wealth management means organizations need to adopt technologies that make them highly efficient, data driven and customer-centric. Learn more at IBM Insight 2015, or sign up for IBMGO to see live streams of highly essential
Digital banking is making greater inroads with customers, so how can established banks fight this competition? By streamlining processes, getting rid of paper and becoming more customer-centric. This transformation enables institutions to become more agile, responsive and personalized.
Data reservoirs are useful tools that can help organizations create new products and services, increase customer service and efficiency, and reduce waste and fraud. But what is a data reservoir and how do you create it?
If you want your clients to be confident in your risk analytics, you must be confident in your data. Empower your risk analytics by becoming confident in your own data, the risk numbers you derive from it and the risk analytics that result.
Predictive product and customer profitability analysis techniques get a significant boost from big data and analytics. So much so that the lines blur between the phases of the traditional "Plan, Do, Study, Act" cycle outlined by Dr. Edwards Deming.
By banishing “bankers’ hours,” mobile technology has transformed the banking industry. Learn how one New Zealand bank is using digital tools, real-time data and a reimagined strategy to strengthen customer relationships.
When it comes to big data and analytics, you can expect the unexpected. A wide range of companies is applying insights in ways that may surprise you. Here are four examples featuring an unusual mix of companies where the only common denominator is their success with analytics.
Today's banking environment and ever-changing digital technologies require financial institutions to embrace banking customer analytics with a new view: understanding customer behavior in a digital world has immense value.
Your data represents business value that your organization can’t afford to ignore. In this webcast, listen as two chief data officers discuss how you can position the CDO role for success and help your organization provide true value to customers.
The traditional banking model is changing as fiercer competition and heightened customer expectations of digital banking put the customer experience at the top of the priority list. Banks are leveraging predictive analytics solutions to enhance targeting via customer segments and to provide custom
If your organization is trying to make the most of its analytics capabilities, don’t miss these IBM Insight sessions—a presentation and a super session offering a deep look into the world of real-time analytics and discussing how to inject analytics into real-time operational systems.
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