http://dl.gi.de/handle/20.500.12116/3437 2026-07-22T22:10:47Z http://dl.gi.de/handle/20.500.12116/3566 A Maturity Model for Enterprise Data Quality Management Ofner, Martin; Otto, Boris; Österle, Hubert Enterprises need high-quality data in order to meet a number of strategic business requirements. Permanent maintenance and sustainable improvement of data quality can be achieved by an enterprise-wide approach only. The paper presents a Maturity Model for Enterprise Data Quality Management (Enterprise DQM), which aims at supporting enterprises in their effort to deliberately design and establish organisation-wide data quality management. The model design process, which covered a period of five years, included several iterations of multiple design and evaluation cycles and intensive collaboration with practitioners. The Maturity Model is a hierarchical model comprising, on its most detailed level, 30 practices and 56 measures that can be used as concrete assessment elements during an appraisal. Besides being used for determining the level of maturity of Enterprise DQM in organisations, the results of the paper contribute to the ongoing discussion in the information systems (IS) community about maturity model design in general. 2013-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/3567 Bridging the Gap from a Multi-View Modelling Method to the Design of a Multi-View Modelling Tool Bork, Domenik; Sinz, Elmar J. Effectiveness of comprehensive modelling methods considerably benefits by the availability of appropriate tool support. However, there is a significant semantic gap between a multi-view modelling method and the design of a corresponding modelling tool. The paper at hand contributes to bridge that gap by means of explicitly focusing the early steps in the design process of a modelling tool. The approach presented here comprises three steps: Starting with (1) a modelling scenario, which centres the human modeller, (2) a multi-view modelling principle and use cases of the tool are derived and (3) the conceptual design of a multi-view modelling tool is specified. The approach is introduced in an abstract manner before it is applied to a concrete scenario. This scenario is outlined for the Semantic Object Model (SOM) business process modelling method, depicting a straight way to the design of an appropriate multi-view modelling tool. 2013-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/3565 Editorial 2013-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/3558 Integrating IT Portfolio Management with Enterprise Architecture Management Simon, Daniel; Fischbach, Kai; Schoder, Detlef The management of information technology (IT) as a business has become a crucial factor in today’s complex and dynamic environments. Many firms thus have implemented IT portfolio and enterprise architecture (EA) management practices, and academic research has paid increasing attention to these concepts. However, their integration seems poorly substantiated; this article therefore seeks to answer two main questions: (1) What are differences and common characteristics of IT portfolio and EA management, and in what way can they be integrated? and (2) what factors and types might describe an integrated process design of EA management and project portfolio management in particular? To answer these questions, this study synthesises previous research and surveys EA practitioners to propose an EA management process map, as well as three descriptive factors and four clusters, which provide an integrated process design with project portfolio management. The interrelations with organisational aspects and software tool support are also explored. This article thereby clarifies and systematises the subject area while also offering advice for researchers and practitioners. 2013-01-01T00:00:00Z