September 9, 2014
Retailers today have an insurmountable amount of data to digest and act on quickly not just to personalize the customer experience, but also to prevent fraud. This week’s IBM Big Data & Analytics Hero, David Speights, chief data scientist at The Retail Equation, shares some insights with us.
August 12, 2014
The Retail Equation utilizes big data to predict and shape shopper behavior. Mark Hilinski, executive vice president of business development and strategic accounts and this week’s IBM Big Data Hero, shares how they “uncover those patterns of activity that were otherwise unseen in the data” and identify fraud.
October 11, 2013
Insurance companies are working to define solutions that support integration across a number of sources to provide a “360-degree view” of producers and policyholders.
September 4, 2013
Gaining a 360o view of customers can provide organizations with valuable information about how to better serve their customers and foster greater brand loyalty. But traditionally, marketers use costly and time-consuming methods to gain that knowledge.
June 26, 2013
With multiple channels and numerous ways to interact with companies, today’s customer journey is a complex weave of paths. Often, customers start and end their journey before the business is even aware of it.
May 17, 2013
In our Friday Data Flick series this week, we look at how companies are achieving an “enhanced 360-degree view of the customer,” which is another of the top five uses for big data (also called “use cases”).
May 16, 2013
In our last #CXO twitterchat guest, Seth Grimes, founder, and a principal, of Alta Planta Corporation, led the conversation as we discussed “Sentiment Analysis and the Customer Experience.” Here are some of the nuggets from that conversation.
May 15, 2013
Part 2 in a 3-part series: Big Data and Next Generation Banking – Leveraging information and mobile to drive revenue and expand the customer value proposition
May 9, 2013
In our market today, shifts in demographics, attitudes and patterns of behavior fragment customer value drivers. Lifestyle patterns, household composition, and age all cause shifts in value drivers. Customers utilize different ways to shop and purchase -- especially the younger generations. As such, it’sharder for businesses to define “norms.” Customer’s today mandate that businesses dig deeper and leverage all customer data to truly understand their spoken and unspoken needs. In our last #CXO twitterchat guest, Tammy McLeod, VP and Chief Customer Officer, Arizona Public Service, (@T_McLeod) joined us as we dug into the topic “Cultivating Deeper Customer Understanding.” Here are some of the thoughts from that conversation.
May 9, 2013
Putting a dollar value on data is a very tricky endeavor. Data is only as valuable as the business outcomes it makes possible, though the data itself is usually not the only factor responsible for those outcomes.