What is a common challenge when implementing Digital Intelligence?

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Integrating legacy systems with modern solutions is a prevalent challenge in the implementation of Digital Intelligence. Many organizations have invested heavily in older systems that may not be compatible with newer technologies. These legacy systems often hold vast amounts of critical data but lack the flexibility and capabilities inherent in modern digital platforms.

To effectively implement Digital Intelligence, organizations often need to ensure that these older systems can communicate and work alongside new technologies. This integration requires significant resources, including time, investment, and expertise in both the legacy and modern systems. The process can be complicated by factors such as outdated code, differing data formats, and a lack of documentation or support for the old systems.

Success in integrating these systems can lead to more streamlined operations, improved data analytics, and enhanced decision-making processes. However, failure to effectively manage this integration can result in data silos, inefficient operations, and an inability to fully leverage Digital Intelligence capabilities, hindering an organization's digital transformation efforts.

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