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Data Migration refers to a one off extraction of data from one or multiple sources and consolidating it into one or more destination systems typically improving data quality issues during the process, providing you with clean data

Typical challenges with data cleansing & migration Projects:

Concern about migrating poor quality data sets between systems
Dirty data can be duplicated, poorly formatted, inconsistent, invalid or incomplete data
Difficulty mapping the differences between data source and target systems (migration rules)
Lack of resources time, money and understanding data
Best use of existing resources
Difficulty retiring an out of date/legacy system
Lack of process definition
Lack of sophisticated data cleansing & migration tools available

A successful data cleansing & migration project will help:

Provide a higher quality target system with accurate data profiling and identifying the data correctly
Boost efficiency and effectiveness
Improve staff confidence by providing clean data
Enhance customer relationships
Provide a competitive advantage thanks to its leaner, more agile approach
Facilitate good quality decision making, fuelled by accurate data quality rules and reporting
Prevent the development of costly workarounds
Ensure regulatory compliance

Featured Products:

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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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DQ Consulting™

Leverage our 25 years of experience to ensure your data project is delivered on time and on budget.

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Let us know how we can help with your data migration

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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