The process of continually consolidating data between systems for the purpose of a shared understanding, creating a single customer view and running a master data management project
Typical challenges with data integration projects:
Concern about migrating poor quality data between systems
Duplicated, poorly formatted data, inconsistent, invalid or incomplete data
Difficulty accessing the data (lack of connectors)
Lack of resources, time, money, knowledge
How to identify the ‘System of Record’
Lack of sophisticated tools available
Difficulty mapping the differences between source and target systems (migration/integration rules)
A successful data integration project 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:
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.