Published: 07 October 2024
Designing a data-driven organization requires heads of EA’s enterprisewide view and D&A teams’ data and technology expertise. This research helps heads of EA collaborate with D&A to design a robust future-state architecture that makes the data-driven organization a reality.
Heads of enterprise architecture (EA) cannot design a trusted future-state architecture alone for a data-driven organization, as this requires strong expertise from data and analytics (D&A) teams as well.
Designing a data-driven organization requires a good understanding of both business outcomes and data and technology considerations.
Even the best future-state architecture for a data-driven organization will not deliver on its promises if data cannot support self-service analytics and if customers of data-driven insights do not have enough comprehension on how to use those insights.
Foster enterprise trust in the design of a future-state architecture for the data-driven organization by forging
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