Published: 07 May 2024
Enabling a future-state architecture for a data-driven organization poses significant challenges for chief enterprise architects. Use this research to align with the chief data and analytics officer to establish a robust future-state architecture that makes the data-driven organization a reality.
The primary challenge for CEAs when meeting business needs is having an operating model that allows them to provide consumable guidance and advice and could benefit from stronger collaboration with the CDAO.
CEAs find that their operating models lack timeliness, intuitiveness and actionability, leading to the design of future-state architectures that make bringing the expected business and technological value difficult.
CEAs identify that even the best future-state architecture for a data-driven organization will not deliver on its promises if the data is unusable to support self-service analytics and if customers of data-driven insights do not have enough comprehension on how
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