Pitney Bowes’ Single Customer View solution launched on March 31, 2016 arrives at a time when customers are demanding greater personalization in their interactions with businesses. An unambiguous, up-to-date 360-degree perspective on individuals and organizations is now essential for conducting business most effectively in the Financial Services, TelCo, Insurance, Retail, Healthcare, and Public sectors.
Ecommerce provides a definitive use case for illustrating the value of the Single Customer View solution. Today’s online-savvy consumers demand accurate, contextual, real-time recognition of their identity wherever and whenever they’re engaging with a business. Regardless of their channel of communication – Website, Mobile Web, Mobile App, Email, Social Media, Call Center and even Retail Store – customers expect every touch point to provide an up-to-date and contextually relevant experience.
Findings reported by Kitewheel (The State of the Customer Journey) serve to underscore the expectations of connected consumers:
30% …expect the brand’s response within 24 hours
The Single Customer View solution delivers identity resolution to the users of Pitney Bowes’ Spectrum Technology Platform. This capability accesses disparate data across multiple channels of engagement to provide an unambiguous, contextually-relevant view of a customer. Identity resolution can run either as a batch operation or as a service to be leveraged for real-time processing.
The newly released Spectrum Technology Platform v11, the foundation for Pitney Bowes’ Customer Information Management (CIM) product portfolio, introduces the following Single Customer View solution key capabilities:
“Virtualized Data Hub” is the Single Customer View solution’s central point for understanding, managing and delivering critical data assets. The hub provides components for federating data across silos, gleaning inherent relationships in the data, modelling entity relationships, sharing data with downstream processes and persisting data as needed.
“Big Data Quality” capability facilitates execution of data quality processes such as cleansing, matching and validation within the Hadoop and Spark environments. Moving DQ processing to where the vast amount of data resides enables exploiting the parallel processing of the cluster, resulting in accelerated DQ processing.
“Visual Insights” is a new web browser tool for building Dashboards, Reports and Story-boards that enable analysis of client data as well as monitoring the status of Spectrum processes. Analyses performed in Visual Insights can be scheduled to run, and resulting data can be accessed by downstream processes.
Unabashed.io: The information contained herein was obtained from sources understood to be reliable. Lakshmi Randall disclaims all warranties regarding its accuracy, completeness or adequacy, and is not liable for errors, omissions or inadequacies therein. This blog represents the opinions of Lakshmi Randall and therefore should not be construed as statements of fact.Category: Big Data Quality Market Lens NoSQL Single Customer View