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Big Data & Analytics Maturity Model

August 15, 2014

Many organizations are in the process of increasing digital engagement with their customers. They hope to deepen the understanding of their customers by improving the connection they have with them, thereby improving service, increasing retention and strengthening relationships. Furthermore, the opportunities with the greatest value arise when organizations can combine data from their existing corporate systems with data associated with digital engagement.

Organizations are able to take advantage of additional data and apply more advanced analytics by adopting big data technologies and techniques. However, it is the ability to apply insight to act and improve business processes that builds business value.

This formation of this Big Data & Analytics Maturity Model has been led by Niall Betteridge, executive IT architect at IBM Australia, and myself. It helps organizations assess their current capabilities in order to generate value from big data investments in support of strategic business initiatives. It does so by forming a considered assessment of the desired target state, identifying gaps and provides guidance on the steps required to realize this end state.

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Use the model to understand the level of maturity required to meet your organization’s business objectives and then, assess your current capability. You will then be better informed as to how to use big data and analytics to achieve your business goals.

Questions?

Leave a comment for us below—we look forward to further conversation on this new model.


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Niall Betteridge is co-leader of this work. Niall is an executive IT architect (senior certified) who has worked all aspects of architecture down to detail, taking leadership roles in producing enterprise, component (functional) and operational (infrastructure) architectures covering channels, BPM, integration (SOA/API), risk management, core banking, cloud and information solutions.