Enterprise Architecture as a tool to implement future challenges in a Data Services Environment in an effective way

: A case study (based on an existing adoption model)

Abstract

Data is becoming increasingly important for organisations. Using data in the right way is key to competitive advantage. Data is changing customer expectations and forcing organisations to anticipate their own need to change. This is a challenge for organisations, particularly for those operating in a traditional business with legacy systems, like Data Service Providers or Data Services Environments (DSE), operating in the Business-to-Business space. Their business strategy and goals are not optimally aligned with their processes and technical environment, making it more difficult to constantly respond to required changes.
Existing literature has a gap in the research on Enterprise Architecture (EA) in a Data Service Environment (DSE). In this study, an existing method for adoption of Enterprise Architecture was selected and used in a theoretical framework, that has been empirically researched at a Data Service Provider. Results of this study indicate that most challenges DSEs are experiencing could be overcome when they adopt EA and gain EA Benefits. To successfully adopt EA, it is important management supports a learning environment for the organisation on EA, starting at the level of individuals of the organisation, influencing learning at the organisational level. Learning seemed a crucial factor for successful adoption of EA.

Date of Award	29 Jan 2021
Original language	English
Supervisor	Pien Walraven (Examiner) & Karel Lemmen (Co-assessor)