Pitney Bowes Software & Data is now part of Precisely

Pitney Bowes Software & Data and Syncsort are now Precisely, the leader in data integrity

Precisely was formed through Syncsort’s acquisition of the Pitney Bowes Software & Data business

The Pitney Bowes Software & Data business was acquired by Syncsort in December 2019, bringing together decades of experience and expertise in handling, processing, and transforming data.

Syncsort specialized in optimizing, integrating, and advancing data, to enable customers to extract value from their information wherever and whenever they need it. Pitney Bowes Software & Data brought unmatched proficiency in location intelligence, data enrichment, customer information management, and engagement.

Precisely brings together the best of these businesses to create an end-to-end, mature product portfolio with a singular focus on data integrity – all so we can help our customers make better decisions.

Learn more about Precisely

Verify
Understand your data and ensure it is accurate, consistent, and complete for confident business decisions

 

Precisely Spectrum Quality:

Locate
Analyze location data for enhanced and actionable business insights that drive superior outcomes

 

Precisely Spectrum Spatial:

Precisely Spectrum Geocoding:

Precisely MapInfo:

Enrich
Power enhanced decision making with expertly curated, up-to-date business, location, and consumer data

 

For a more detailed view of our datasets, visit our Data Guide

Engage
Create seamless, personalized, and omnichannel communications on any medium, at any time

 

Precisely Engage One:

Press Release

Syncsort Rebrands as Precisely, Powers Confident Business Decisions with Trusted Data

New Brand and Strategy Accelerate Leadership in Data Integrity Following Syncsort’s Acquisition of the Pitney Bowes Software and Data Business

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Press Release

Syncsort completes acquisition of the Pitney Bowes Software and Data business

Creates world-class data management software company that enables enterprises across all major industries to maximize the value of their data

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FAQ

Frequently Asked Questions (FAQ)

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