Fraud is a primary concern for financial institutions, particularly in the relatively porous channels opened by electronic banking and payments, which have seen notable exploitation by organized crime. However, some leading financial institutions have used emerging big data and analytics
Designing a sales compensation system is difficult—and when managers rely on hunches in the process, the task becomes even harder. However, a new solution replaces guesswork with quantifiable analytics that help uncover insights in compensation data.
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
What can the office of finance learn from Earth’s toughest endurance cycling race? Ride along with ultracyclist Dave Haase, discovering how he used insights supplied by IBM Analytics to become the fastest American to have competed in the Race Across America in 16 years.
Digital, social and mobile technologies have primed consumers to expect convenient, personalized interactions and fast, easy access to information. IBM Consumer Insights and Engagement integrates consumer data, analytics and marketing systems of engagement.
What are the most common mistakes in implementing sales performance management (SPM) systems? Common mistake #2: Not ensuring that sales and finance teams are aligned. Nonalignment of the naturally conflicting priorities between sales and finance can have critical long-term consequences for an