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.
Today's customer expects businesses to know their specific needs and cater to them. Personalization is no longer a nice-to-have but a must-have. By utilizing big data, companies can gain a deeper understanding of customers and transform the customer experience. Shane Sweeney, head of engineering of
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
With all the data generated today it's critical for businesses today to have "information at the right time, at the right cost," says Anand Mahurhar, CEO of Findability Sciences. Uncovering the human insight means getting to know your data and the nuggets buried within. Listen to Anand expound on
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
With millions of transactions a day from new identities that may or may not need to be linked, retailers have a task on their hand to sift through the data to capture a comprehensive 360 degree view of each customer. IBM Big Data solutions can lessen the data load. Watch David Speights, the chief
Innovation and growth. Those are the first two responses given when IBM speaks to executives about their priorities in dealing with data. Organizations are facing challenges in managing the scope and large-scale transformations that they need to deal with rapid data expansion. This new reality
By leveraging big data, businesses can make sense of unstructured and structured data to better understand customer behavior. Anand Mahurkar, CEO of Findability Sciences, shares insights on digital body language, brand karma and the human insights we get from our data.
The biggest roadblock to big data and analytics capitalization stems from people, not data. A fragmented approach to investments and decisions can result in a breakdown of trust between different groups of people who may be accessing, interpreting and using data in different ways. The right level
Bob Griffin, VP of IBM Industry Solutions discusses the deep impact fraudulent activities have on organizations and consumer confidence. He introduces a new counter fraud solution from IBM designed to help prevent and intercept attempted fraud, and employs advanced intelligence allowing