Sam Higgins

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Sam Higgins  is an IBRS Advisor over 20 years of both tactical and strategic experience in the application of information and communications technology (ICT) to achieve business outcomes from large complex organisations. Through previous roles as a leading ICT executive, strategist, architect, industry analyst, program consultant and advisor, Sam has developed an extensive knowledge of key markets including as-a-service (cloud) computing, enterprise architecture (including service-orientation and information management), enterprise applications and development, business intelligence; along with ICT management and governance practices such as ICT planning, strategic sourcing, portfolio and project management. Sam’s knowledge of service-oriented architecture and associated business models is widely recognised, and he was a contributing author on the Paul Allen book Service-orientation: Winning Strategies and Best Practices, released in 2006 by Cambridge University Press. As the former Research Director for Longhaus he undertook the first in depth research into the implications of cloud computing and other “as-a-service” ICT offerings on the Australian and near shore markets. The 2010 report entitled, Defining cloud computing highlights provider gaps in the Australian ICT market, was widely reported in both the online ICT industry press and mainstream media.

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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