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At its simplest, data deduplication refers to a technique to remove redundant data in a data set. During deduplication, excess copies of the same data are eliminated, leaving only one copy to be stored.

Typical challenges with data deduplication:

Too many duplicates in the system
Lack of sophisticated tools to deal with duplicates
Unable to identify duplicates or to measure the extent of the issue
Lack of resources, time, money, knowledge
Uncertainty around how to review potential duplicates
Uncertainty on how to define matching logic/rules/scoring
Difficulty accessing and updating data

Successful data deduplication will help:

Provide a unified view of data
Boost efficiency and effectiveness
Improve staff morale
Enhance customer relationships
Provide data more readily available for analysis
Provide a competitive advantage thanks to its leaner, more agile approach
Facilitate good quality decision making, fuelled by accurate reporting
Prevent the development of costly workarounds
Enhance confidence in data
Ensure regulatory compliance

Featured Products:

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DQ for Dynamics™

An integrated solution to find and prevent duplicates, apply a wide array of data improvement functions and master your data all from within Dynamics CRM.

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DQ Studio™

A complete solution for data management including data integration, data migration, data quality improvement, data replication, business rules, process automation, machine learning, and more.

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The best way to learn more about how our solutions can help is to let us know more about your data challenge.

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