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Pitney Bowes Adds Enhanced Big Data Management Capabilities to its Spectrum™ Technology Platform
Delivers Trusted Insights Across the Enterprise to Boost Customer Engagement and Competitiveness
In today’s fast-paced and competitive environment, businesses are challenged with drawing actionable insights from growing data sets locked in internal and external sources. A well-defined customer information management strategy can help unlock the value by optimizing interactions, reducing exposures and increasing operational efficiency.
Using the Pitney Bowes Spectrum Technology platform, global banks
deliver personalized customer experiences across various business
channels by establishing a single customer identity across the
enterprise. Similarly,
The benefit of this technology is that it allows clients to deliver trusted data and insights in context across touch-points to maximize the value of customer information. It does so by aggregating, cleansing and consolidating data from disparate sources and enriching it with corporate and third-party reference data. This high-quality data is modeled as knowledge graphs, built on graph database technology, which makes it easier for users to view, retrieve and use the key insights for better decision-making.
Knowledge graphs inherently provide the ability to create multi-dimensional views of information to address specific needs of various business stakeholders in organizations such as sales, marketing and compliance. In addition, business stakeholders prefer to view data in the context of their process and in-line with appropriate governance policies. For example, a knowledge graph can be used by a financial company to track a consumer’s spending pattern or it can be used by an insurance company to visually depict a customer’s risk profile.
“Clients today require more dynamic and flexible solutions to help them
manage their customer information,” said
Key capabilities in this new release are as follows:
- Visual Data Modeling: Subject-matter experts model to the business outcome using an intuitive "white-boarding" approach delivered via a web UI. This provides an agile way to manage complex relationships and hierarchies and support better collaboration between business and IT functions.
- Process-centric Data Governance: With access to corporate data as well as external sources at their fingertips, business stewards are able to review and resolve issues quickly. They can also capture and visualize data quality trends against established key performance indicators (KPIs) to monitor the health of the data assets in context of their processes.
- Big Data Readiness: With the ability to handle large data sets, combined with advanced clustering and in-memory caching, organizations can process large volumes of data coming in at high velocity.
- Enhanced Entity Resolution: Advanced search coupled with matching algorithms against unstructured data, enables companies high-performance access to disambiguated information for building 360 degree customer views.
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Industry and Application Certifications: In the new version,
support for several new standards and applications has been added.
This includes support for HL7,
the healthcare information standard, latest versions of SAP
applications,
NetSuite and postal certifications for CASS (US) and SERP (Canada ).
Already, a number of large clients in financial services, insurance,
retail and high-tech industries are implementing the latest version of
Spectrum Technology Platform. For more than 30 years,
About
Source:
Pitney Bowes Inc.
Lolita Verny-Acosta, 203-898-3697
Lolita.vernyacosta@pb.com