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.
Explore the IBM i2 Summit for a Safer Planet in pictures taken from general and breakout sessions. Experts in various security-related fields—including law enforcement, emergency management, defense/national security, cyberthreat intelligence and counter-fraud—gathered to discuss new, more
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?
How can banks leverage ECM solutions to improve operational efficiency, increase customer satisfaction and reduce costs? Explore how ECM enables digital banking and improves processes such as loan origination and new account openings.
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.
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.
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.
Discover how automation can help you overcome your incentive compensation plan challenges in an analyst report from Aite. Then, explore how managers can apply Sales Performance Management solutions to help eliminate surprises and make sound, strategic choices for their variable incentive programs.
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.