According to KCS practices, what is the best approach to dealing with legacy data?

The best approach to dealing with legacy data according to KCS practices is to populate the knowledge base (KB) based on demand while keeping legacy content in separate repositories. This method aligns with the core principle of KCS, which emphasizes the continuous improvement and relevance of the knowledge base.

By populating the KB based on demand, teams can ensure that the information being maintained is current, relevant, and utilized by users actively. This approach encourages the organization to focus on creating and curating knowledge that needs to be accessible now, rather than being bogged down by accumulating and possibly outdated legacy content.

Maintaining legacy content in separate repositories allows for historical reference when needed, without cluttering the primary knowledge base with potentially obsolete information. This structure ensures that users are interacting with only the most pertinent knowledge, improving the efficiency and effectiveness of user support and knowledge retrieval.

Choosing this method also exemplifies a strategic approach to knowledge management, promoting a dynamic and responsive system that adapts to the evolving needs of the organization. This practice enhances user experience, as the knowledge base remains streamlined and relevant, while still providing access to historical data if necessary.