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
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.
IBM InfoSphere BigInsights, one of IBM's big data solutions, has helped Constant Contact improve big data analysis performance by over 40 times, reduced wait time from hours to seconds and increased client campaign effectiveness by almost 25 percent.
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
Big data and analytics is creating opportunities for communications service providers (CSPs) to establish new revenue streams. With big data and analytics technology powered by IBM Watson Foundations, CSPs can resolve customer issues faster, at lower cost and identify new offerings that drive
http://www.ibmbigdatahub.com - The idea of becoming a customer centric organization seems to be at the forefront of executives and managers minds. But for many organizations, taking the steps to become more customer-centric are challenging.
Scott Groenendal, program director for big data
This video addresses how Market6 has implemented an IBM PureData System for Analytics solution to house and process more than 100 TB of data. The client uses the platform to operate its information services, so that retailers and manufacturer customers can view the same information at the same time
USC Annenberg Innovation Lab is using an IBM big data solution to conduct sophisticated social media analytics and natural language recognition to gauge positive and negative opinions shared in millions of public tweets. The project has been applied to political debates, sporting events, movies and
As social media tools become more prevalent, those participating in the online conversation become increasingly influential, especially as their opinions travel faster and to a wider group of consumers. The IBM Social Sentiment Index uses analytics and natural language processing technologies to
Krishnan Parasuraman, CTO of big data, IBM Digital Media, describes the three contextual factors fueling the questions around big data, including the analytic awakening, commodization of technologies, and data availability.