Iteratec GmbH

München, Germany

Iteratec GmbH

München, Germany
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Farwick M.,University of Innsbruck | Schweda C.M.,iteratec GmbH | Breu R.,University of Innsbruck | Hanschke I.,iteratec GmbH
Software & Systems Modeling | Year: 2014

The business capabilities of modern enterprises crucially rely on the enterprises' information systems and underlying IT infrastructure. Hence, optimization of the business-IT alignment is a key objective of Enterprise Architecture Management (EAM). To achieve this objective, EAM creates, maintains and analyzes a model of the current state of the Enterprise Architecture. This model covers different concepts reflecting both the business and the IT perspective and has to be constantly maintained in response to ongoing transformations of the enterprise. In practice, EA models grow large and are difficult to maintain, since many stakeholders from various backgrounds have to contribute architecture-relevant information. EAM literature and two practitioner surveys conducted by the authors indicate that EA model maintenance, in particular the manual documentation activities, poses one of the biggest challenges to EAM in practice. Current research approaches target the automation of the EA documentation based on specific data sources. These approaches, as our systematic literature review showed, do not consider enterprise specificity of the documentation context or the variability of the data sources from organization to organization. The approach presented in this article specifically accounts for these factors and presents a situational method for EA documentation. It builds on four process-supported documentation techniques which can be selected, composed and applied to design an organization-specific documentation process. The techniques build on a meta-model for EA documentation, which is implemented in an EA-repository prototype that supports the configuration and execution of the documentation techniques. We applied our documentation method assembly process at a German insurance company and report the findings from this case study in particular regarding practical applicability and usability of our approach. © 2014 Springer-Verlag Berlin Heidelberg.


Farwick M.,University of Innsbruck | Agreiter B.,University of Innsbruck | Breu R.,University of Innsbruck | Ryll S.,Iteratec GmbH | And 2 more authors.
Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC | Year: 2011

Creating and maintaining an enterprise architecture model that is both up-to-date and accurate is a difficult task due to the size and complexity of the models and the dispersed nature of EA information in organizations. In current EA maintenance processes, the models are maintained manually with only little automation, which is a time consuming task. Literature from research and practice has identified this challenge, however only few scientific publications actually address the issue of EA model maintenance and its automation. In our research effort on Living Models, we work towards solutions for a closer connection between EA models and what they represent in the real world. In this article we present (semi-)automated processes for maintaining enterprise architecture models by gathering information from both human input and technical interfaces and discuss implementation issues for realizing the processes in practice. This work is one of the first steps in the direction of minimizing manual work for EAM by automation and increasing EA data quality attributes such as consistency and actuality. © 2011 IEEE.


Farwick M.,University of Innsbruck | Agreiter B.,University of Innsbruck | Breu R.,University of Innsbruck | Haring M.,Iteratec GmbH | And 2 more authors.
Proceedings - 2010 IEEE 3rd International Conference on Cloud Computing, CLOUD 2010 | Year: 2010

Enterprise Architecture Management (EAM), and in particular IT-landscape management try to model the IT-and business elements of a company, in order to analyze its efficiency towards supporting business goals, optimize business-IT alignment, and to plan future IT-transformation as well as IT- standardization. A major challenge in this field is the elicitation of infrastructure information from run-time systems, e.g., to answer the question which servers provide services to a specific information system. Capturing this data is a time consuming manual task which leads to quickly outdated information. Similar to traditional hardware, cloud infrastructure needs to be documented in an EA model in order to gain insight on its relationships with business information systems and ultimately the business goals. The aim of our research in this area is the automatic integration of various runtime information sources into an EAM view. The overall goal is to minimize manual work to keep enterprise architecture information up-to-date. This enables enterprise architects to make timely and precise decisions. In this work we focus on how information on the cloud infrastructure can be seamlessly integrated into an EA view. Making the cloud visible for enterprise architects is especially important to meet legal (privacy) requirements, on the storage and processing location of data. We present a conceptual approach for the information integration problem, and introduce our prototypical implementation with the open-source infrastructure cloud implementation Eucalyptus, and the open-source enterprise architecture management tool iteraplan. © 2010 IEEE.


Kovynyov I.,Iteratec AG | Devaquet G.,Swissport | Riesen B.,Swissport
At-Automatisierungstechnik | Year: 2016

This paper shares our experiences from a project at Swissport Zurich in 2014. The paper introduces an approach to the data integration using a data mart and discusses key techniques for managing change by single phase of a big data project. Furthermore, we identified key barriers to success in big data projects (e.g. big data skepticism, measurable added value) and elaborated ways to overcome these barriers (e.g. a strong business case, modeling change with an enterprise architecture). © 2016 Walter de Gruyter Berlin/Boston.


Petrikina J.,University of Hamburg | Drews P.,University of Hamburg | Schirmer I.,University of Hamburg | Zimmermann K.,Iteratec GmbH
Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW | Year: 2014

Companies today interact in an increasingly competitive environment and seek to leverage the potentials of IT for generating new business models and for changing existing ones. For these business models, companies have to align the respective business and IT architectures. This task can be supported by using enterprise architecture management. In this paper, we first analyze the potentials for integrating enterprise architecture (management) and business model (management). Second, the components of different approaches for describing business models are compared to each other. Third, we present a concept for integrating business models into enterprise architectures. Fourth, we outline an integration of business model management and enterprise architecture management processes. © 2014 IEEE.


Gebhart M.,iteratec GmbH | Mevius M.,Konstanz University of Applied Sciences | Wiedmann P.,Konstanz University of Applied Sciences
International Journal on Advances in Life Sciences | Year: 2014

Agile business process management is an adaptation of the agile methodology, which is well-known in the area of software development. It supports the tight and efficient collaboration between customer and process analysts when designing processes. However, this methodology requires a governance approach that ensures the high quality of the processes. This article shows the usage of quality models to evaluate business processes in agile business process management environments and its specific challenges. To illustrate the approach, an existing quality model is reused and formalized. Afterwards, a business process in the context of offer management is captured and evaluated by means of this quality model. © by authors.


Hauder M.,TU Munich | Fiedler M.,TU Munich | Matthes F.,TU Munich | Wust B.,Iteratec GmbH
Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC | Year: 2013

Adequate tool support for Enterprise Architecture (EA) and its respective management function is crucial for the success of the discipline in practice. However, currently available tools used in organizations focus on structured information neglecting the collaborative effort required for developing and planning the EA. As a result, utilization of these tools by stakeholders is often not sufficient and availability of EA products in the organization is limited. We investigate the integration of existing EA tools and Enterprise Wikis to tackle these challenges. We will describe how EA initiatives can benefit from the use and integration of an Enterprise Wiki with an existing EA tool. Main goal of our research is to increase the utilization of EA tools and enhance the availability of EA products by incorporating unstructured information content in the tools. For this purpose we analyze task characteristics that we revealed from the processes and task descriptions of the EA department of a German insurance organization and align them with technology characteristics of EA tools and Enterprise Wikis. We empirically evaluated these technology characteristics using an online survey with results from 105 organizations in previous work. We apply the technology-to-performance chain model to derive the fit between task and technology characteristics for EA management (EAM) tool support in order to evaluate our hypotheses. © 2013 IEEE.


Buckl S.,TU Munich | Matthes F.,TU Munich | Schweda C.M.,Iteratec GmbH
Lecture Notes in Business Information Processing | Year: 2012

Enterprise architecture (EA) management is today a critical success factor for enterprises that have to survive in a continually changing environment. The embracing nature of the management subject and the variety of concrete goals that enterprises seek to pursue with EA management raises the need for management functions tailored to the specific demands of the using organization. The majority of existing approaches to EA management does account for the organization-specificity of their implementation, while concrete prescriptions on how to adapt an EA management function are scarce. In this paper we present a development method for organization specific EA management functions based on the idea of reusable building blocks. A building block describes a practice-proven solution to a recurring EA management problem. The theoretic exposition of the development method is complemented by an fictitious application example. © 2012 Springer-Verlag.


Buckl S.,Iteratec GmbH | Matthes F.,TU Munich | Schneider A.W.,TU Munich | Schweda C.M.,Iteratec GmbH
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Researchers in the area of Information Systems (IS) applying the design science paradigm are confronted with the challenge to make theoretical contributions which also help to solve current and anticipated problems in practice. This is often referred to as the rigor and relevance challenge of design science research. To ensure relevance of the research outcome, research projects in IS are often conducted in close cooperation with one or more industry partners. This typically leads to a need for early results and a binding to the specific organizational context of the participating industry partner(s). In this paper, we propose pattern-based design research (PDR), an iterative design research method consisting of four phases, to overcome this problem. We argue that patterns as early stage design artifacts enable researchers to build innovative artifacts that address current and anticipated problems of practitioners in an organizational context. Building on well-established concepts as patterns, design theories, and the design theory nexus, the proposed research method enables a researcher to theorize and learn from the intervention at the industry partner(s) while performing rigorous and relevant design science research. We illustrate the applicability of PDR by presenting a research project from the area of enterprise architecture management. © 2013 Springer-Verlag.


Buckl S.,Iteratec GmbH | Matthes F.,TU Munich | Schneider A.W.,TU Munich | Schweda C.M.,Iteratec GmbH
Lecture Notes in Business Information Processing | Year: 2013

Enterprise architecture (EA) management represents an evolving discipline in the curriculum of information systems research. Research in the area of EA management is often conducted in close cooperation with industry partners, who on the one hand provide input in terms of current challenges and on the other hand are more than willing to apply and evaluate the research findings. Therefore, researchers in the area of EA management applying the design science paradigm are confronted with the challenge to make theoretical contributions which additionally can be applied and help to solve current and anticipated problems in practice. In this paper we present the so-called pattern-based design research (PDR) an iterative design research method to overcome this problem by enabling researchers to theorize and learn from the intervention at the industry partner(s) while performing rigorous and relevant design science research. We illustrate the applicability of PDR by discussing our research projects of the last 7 years in the area of EA management. We conclude that PDR provides a suitable research method that can be applied in the area of EA and discuss further challenges from the perspective of practitioners and researchers. © 2013 Springer-Verlag.

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