2020/04/07 by Robert Ehrensperger, Ehrensperger, Robert, Clemens Sauerwein +3
Business, Management and Accounting · #Big Data and Business Intelligence #FOS: Computer and information sciences #Information Technology Governance and Strategy #Other Computer Science (cs.OH)
paper · pdf · doi:10.48550/arxiv.2004.05087
openalex publication_date 2020/04/07 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
The digital transformation influences business models, processes, and\nenterprise IT landscape as a whole. Therefore, business-IT alignment is\nbecoming more important than ever before. Enterprise architecture management\n(EAM) is designed to support and improve this business-IT alignment. The\nsuccess of EAM crucially depends on the information available about a company's\nenterprise architecture, such as infrastructure components, applications, and\nbusiness processes. This paper discusses the results of a qualitative expert\nsurvey with 26 experts in the field of EAM. The goal of this survey was to\nhighlight current practices in the information collection for EAM and identify\nrelevant information from enterprise-external data sources. The results provide\na comprehensive overview of collected and utilized information in the industry,\nincluding an assessment of the relevance of such information. Furthermore, the\nresults highlight challenges in practice and point out investments that\norganizations plan in the field of EAM.\n