Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

Data integration vs. data ingestion: What are the differences? Your email has been sent With the increasing amount of data being produced, businesses need better ways to handle and use the information ...

Data migration vs data integration: What’s the difference? Your email has been sent As much as data migration and data integration are understood as interchangeable, the two data strategies play very ...

To cope with a tightening economic environment, businesses should prepare now for cutting IT costs, and the data management discipline is one area that affords numerous opportunities for reducing and ...

Every data integration initiative-whether it supports better decision making, a merger/acquisition, regulatory compliance, or other business need-requires a set of processes to be completed before the ...

Before the internet, companies generally kept their important information in physical folders. Leads were kept in one folder, sales data was kept in another and so on. While this may have been the ...

With 2.5 quintillion bytes of data being generated each day, modern SMEs (Small and Medium Enterprises) have access to an unprecedented amount of data. Unfortunately, 60 to 70% of it goes unused in ...

The ability to collaborate and exchange information in real time across diverse systems and applications is a necessary foundation for business success and innovation. This is especially true when it ...

Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help. What has always fascinated me about Moore’s law is that for ...