Alignment of Data and Processes Architectures

Abstract

The alignment of Business Processes and Information Technologies (IT) is among the top concerns of IT management surveys, because it has a direct impact on the organization’s agility and flexibility to change in response to business needs. Previous works have proposed frameworks and methodologies for alignment management; however, they suppose manual tasks such as applying surveys or comparing artifacts. Enterprise Architecture (EA) is a valuable instrument to assess and achieve such alignment. In that direction, we introduce KALCAS, a framework to support the alignment of Business Architecture (BA) and Information Architecture (IA) via the comparison of their constituent components applying ontology matching techniques. Our key objectives are: i) To support the process of evaluating alignment BA-IA, and ii) To detect potential alignments and misalignments between BA and IA. We validate this approach through the evaluation of misalignment heuristics in the Colombian Institute for the Evaluation of Education.

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