Big data and analytics are playing an increasingly large role in enhancing the customer experience. In this video discussion, data scientist, analyst and author Bob E. Hayes, Ph.D., and Stacy Leidwinger, product manager for the IBM InfoSphere Data Explorer product line within IBM’s big data
Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For
Animation: This use case looks at how savvy retailers can use big data - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time
The customer-driven movement is getting stronger and stronger, and it’s about more than service—it’s about the experience you provide. The customer has indeed become the king for retailers, and smart retailers are using big data analytics to offer customized and personalized services and product.
Audience Measurement is experiencing dramatic change from a focus on the channel to a focus on the individual as marketers and advertisers work to understand the 360 degree view of the customer. Nancy Notaro and Graeme Noseworthy from IBM explore this topic as it relates to today's big data driven
Today’s “empowered customer” puts businesses to the test.
And that test goes way beyond their expectations of receiving a compelling customer experience regardless of how, when and where they engage a brand – be it brick and mortar, mobile or online.
The fact is that consumers are far more price
While consumers may think of social media sites like Facebook, Twitter and Foursquare as places to post musings and interact with friends, leading companies are turning them into extensions of market research departments, using advanced and predictive analytics.
During a recent deep dive into some holiday marketing and retail research, it occurred to me that Santa’s job at the North Pole must generate a substantial amount of data. The question I came to was this: did he even know it? If so, was he using the data to improve distribution procedures and
There is no doubt about it: the practice and profession of marketing is changing… rapidly.
This evolution-level transformation is being seen in virtually every industry across B2C and B2B organizations. It’s being heard by both in-house marketers and outsourced marketing service providers and
This paper defines what big data analytics mean to Communications Service Providers (CSPs), provides an overview of their most valuable uses in telecommunications, outlines what companies must look for as they adopt new big data analytics solutions and discusses how IBM can help.
Information On Demand 2012 (IOD) was a sensational event from start to finish. This was my sixth consecutive IOD, and my first as an IBMer. Long before I joined IBM, I always looked forward to IOD. This annual confab is always a great opportunity to drill deeper into the myriad information
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world. To enable those considerations, one needs to define the imperatives for the supporting big data platform. In this post we will explore what that big data platform manifesto
Big data is everybody’s priority these days, and it’s always exciting to see what different organizations are doing with it.
A few weeks ago, I had the pleasure of participating in a live streaming video panel on business applications of big data in various industries. The broadcast, sponsored by
IBM’s Institute for Business Value (IBV) and the University of Oxford just released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into
Today’s organizations understand the value of analytics. Recent studies, such as the joint IBM/MIT Sloan Management Review study, The New Intelligent Enterprise, have shown that strong positive correlations exist between market leadership and an enterprise’s analytics IQ.
Indeed, it’s fair to say