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Conclusion: Despite increasing focus on information and data in an as-a-Service age, thought leadership in the data management discipline has waned. Today, few of the frameworks, methods and bodies of knowledge that emerged either from the data modelling fraternity or the records management community in the last decade remain active.

This leaves organisations seeking to address the impacts of increasing privacy regulation, cyber security risks from increased digital delivery or improving data integrity to support automation with only one real choice – the Data Management Association (DAMA)’s Data Management Book of Knowledge whose 2nd Edition (DMBoK2) has emerged after almost three years of international collaboration.

Despite the wait, DMBoK2 provides a much-needed update on an already solid foundation addressing contemporary issues with the exception of fully addressing the challenges of data science in its broadest form. Organisations seeking to comprehensively address data management would be well served by adopting DMBoK as a foundational model, thereby ensuring they have a single point of reference regardless of the specific outcomes or priorities that need to be addressed now or in the future.

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