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.
Big Data Education
Big Data & Analytics Heroes
Mark HilinskiExecutive Vice President of Business Development and Strategic Accounts, The Retail Equation
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
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
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. This single view brings together information about the policy, claims, billing, interaction, risk profiles, agent and agency
Gaining a 360 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. Now, data-driven insights are generating a
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.
Now, data-driven insights are generating a
Gaining a 360 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. Now, datadriven insights are generating a
Datameer, Inc. CEO Stefan Groschupf discusses how Datameer's big data analytics solution for self-service data integration, analytics and visualization tools delivers dramatic business impact. Datameer sits on top of any distribution of Hadoop, including IBM BigInsights to help its clients gain a
The journey that a customer takes with your company is an individual one. Each customer requires a customized map with a guide who understands exactly where he wants to go—ensuring a smooth experience along the way. Can your company provide every customer with his own personal guide? And can your
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. With today’s competitive market place, the companies that best understand their customer–
A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use
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”). In less than 15 minutes, you can watch these two videos and walk away with a thorough
Mandy Chessell, IBM distinguished engineer and master inventor, describes the big data use case "enhanced 360-degree view of the customer" and how it can be used to help companies understand:
Who their customers and prospects are
What the customers are interested in buying
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.
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
In the first part of this series authored by Marc Andrews, we discussed some of the challenges that are causing banks to adapt their