Over 80% of digital transformation (DT) initiatives fail because of unreliable data integration methods and siloed data. This figure comes as no surprise because companies find it challenging to handle ever-larger volumes, sources, and types of data. As these businesses struggle to bring data to a unified environment, they’re unable to gain critical insights and make informed decisions.
Legacy data integration solutions share part of the blame. They’re poorly equipped to integrate data in a flexible and scalable way. Companies are left with no choice but to modernize their data integration processes to take advantage of data sets and drive digital transformation.
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