Data Management and Integration
Consolidate and manage customer data for enhanced insights.
Capabilities include visual data modeling as knowledge graphs, information quality, data visualisation, data governance workflows and policy management, data integration and analytics.
Data Management and Integration Portfolio
Reveal your data’s true potential.
Gain the accurate, detailed understanding you need to efficiently optimize your data. Now you can uncover key issues and prioritize data quality improvements. A combination of automated statistical analytics and powerful hands-on tools help you set the stage for more effective data management enterprise-wide.
Spectrum® Metadata Insights
The power behind understanding your data.
Increase the effectiveness of your data profiling, data federation and lineage-impact analyses. Metadata analysis capabilities built directly into Pitney Bowes data quality solutions drive a consolidated data repository that is both powerful and easy to use.
Spectrum Data Hub Module
Gain a robust repository for understanding and managing your most critical data assets.
Effective data model development requires a robust hub that can tap into a full range of processes, interactions, hierarchies, roles and domains for better insight and business results.
Spectrum Data Federation
Gain insight by eliminating the cost, risk and effort of physically combining different data sets.
To gain insight on your customers, you need to traverse multiple data sources that often don’t easily work together. With Data Federation, you can democratise access to information without the risks associated with physically combining those sources.
Spectrum Business Steward Module
Establish effective, repeatable data exception management
Exception records for address verification, geocoding, duplicate merges and more require manual review by a data steward. A browser-based tool for manually reviewing exception records helps correct, approve and reincorporate exceptions into your data quality process.
Spectrum Enterprise Data Integration Module
Access, connect, integrate and analyse data from a wide array of applications
Data integration, in batch or real time, requires the ability to connect to data from multiple sources either directly or through integration with existing data access technologies. The ability to join and query data from a variety of resources, while integrating with SAP and Siebel is critical.