Leonardo Nantes of Boa Vista Servicios, a credit bureau in Brazil, has faced numerous challenges since a merger of two companies took place a few years ago. Boa Vista now serves hundreds of thousand clients nationwide and handles more than three million transactions per day. And because the
Addison Snell, CEO of analyst firm Intersect360 Research, talks about the dynamics unfolding in the technical computing market, and its convergence with big data analytics. In their customer surveys on big data, Intersect360 often finds that users need to scale their environments from desktops, to
Research shows that enterprises only analyze 12 percent of their data. InfoSphere BigInsights for Hadoop empowers enterprises of all sizes to cost effectively manage and analyze big data so that they leverage all data and not just a sliver.
"The issue around identifying targeted analysis for anti-corruption is you just can't look at one data source," says Vince Walden, a partner at Ernst & Young with responsibility for fraud investigation and dispute services. "When you're looking for potentially improper payments that could be
We have so much data available today that customers utilize to determine when, what and from who they buy. The onus then is on businesses to make data work for them. Listen to Corrigan tell the story of big data as it relates to insights from analytics that engage customers in new ways.
With big data financial and transactional data no longer in silos, we can now look at them together. Vince Walden, Ernst and Young partner, says that big data technologies allow them to look at data from all angles.
The organization that can quickly extract insight from their data AND leverage the data achieves an advantage. Rick Clements, IBM's director of marketing for Big Data says, "we are moving from the notion of big data to fast data, where what really matters is speed...and real-time actionable insight
Ernst & Young (EY) uses IBM BigInsights platform to leverage big data and analytics to combat fraud. By running test queries across multiple transactions they can identify fraudulent transactions and mitigate risk for its customers.
Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.
IBM Counter Fraud Management introduces advanced analytics and deep investigative analysis throughout the entire life-cycle of counter fraud operations. This enables organizations to aggressively handle fraudulent activity while pro-actively anticipating, preventing and continuously adapting to
Businesses today must sell confidence:confidence in their company, confidence in their product and, more importantly, confidence that they are protecting customer data. Thomas Bauman, an IT performance architect for Swiss Mobiliar, declares that "secure data is as important as customers who feel