The just-released Forrester Wave Report identifies the vendors who are doing data right, based on a set of hefty criteria that measures factors such as client success, product fit and Forrester client demand. In today's new world of marketing, ask yourself these five questions when analyzing your
In this omni channel world, consumers leave clues about their purchasing decisions at every touch point. What data analytics can you leverage to optimize your marketing message and merchandising? Well, it turns out, a lot.
Today's consumers tend to be constantly connected, digitally savvy, convenience-loving and price-sensitive. This is true for all industries and is changing the ways banks are doing business. To keep a customer, banks need to find ways to optimize each interaction and they are able to do this with
Predictive analytics provides real-time insights into your customers, employees and processes, fueling better decisions throughout your business. This presentation gives an overview of how predictive analytics can strengthen four key areas of your business for improved performance and competitive
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
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.
How did an established mobile communications company drastically increase sales and reduce costs? This presentation highlights the detailed profiling and call analysis the company used to send only customized marketing communications to its customers.
As a top U.S.-based insurer of property, casualty and surety, Westfield realized progress depended on gaining a better understanding of their business. With The Analytics Resource Center (ARC), data is now more accessible, encouraging decisions based on hard evidence rather than intuition.
The Vassan Group struggled to accurately forecast fluctuating sales orders across the Nordic region. As a result, they couldn't effectively plan their resource and production schedule. With IBM Big Data & Analytics, Vaasan gained the ability to predict production requirements and prepare for