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Enterprise architects provide the competence needed to navigate this change, understanding the benefits, costs, and impacts of transformation to enable CIOs and COOs to make informed decisions […]. The post Top 5 EnterpriseArchitecture Mistakes – and How to Avoid Them appeared first on DATAVERSITY.
The post Using EnterpriseArchitecture Roadmaps to Guide Tech Implementation appeared first on DATAVERSITY. All of that comes at a cost, of course. New technologies, system […].
Enterprisearchitecture (EA) can be a confusing term. To supply a business executive with a working definition, you might list that EA comprises the business functions, capabilities, processes, roles, physical and organizational structure, data stores and flows, applications, platforms, hardware, and communication.
A business dataarchitecture comprises definitions and models of an organisation’s data. The models provide a picture of the business in terms of the data. Understanding the dataarchitecture is a key skill of a business analyst. Understanding the dataarchitecture is a key skill of a business analyst.
Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and EnterpriseArchitecture. The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives.
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Data fabrics are emerging as the most effective means of integrating data throughout the enterprise. They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […].
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Click to learn more about author Ian Stendera. In the race towards digital transformation, many companies are pursuing tech investments touting promises of capabilities and business outcomes that don’t actually map to their organizational needs.
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