Barbara Dinter

Technische Universität Chemnitz, Karl-Marx-Stadt, Saxony, Germany

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Publications (39)5.65 Total impact

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    Barbara Dinter · Robert Krawatzeck
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    ABSTRACT: http://aisel.aisnet.org/icis2015/proceedings/ResearchMethods/4/ Design science research (DSR) has matured and gained acceptance as an appropriate information systems research method. Despite the increasing number of DSR publications there is still no common sense and no comprehensive guidance how to present DSR in scientific literature. Therefore, this paper investigates the potential of a configurative DSR publicatio n schema by means of a reference model allow ing the deduction of co n-crete publication schemas. These schemas provide more detailed advice depending on the particular research context, such as the intended artifact type, the evaluation method , or the know ledge contribution type. By identifying configuration parameters (through an investigation of 13 DSR meta-analysis papers) and common configurations (through a meta-analysis of 52 DSR journal publications) w e lay the foundations for a configurative reference model which can be adapted to provide detailed guidance in concrete DSR publication situations for both authors and reviewers. A detailed example sketches the future artifact.
    Full-text · Conference Paper · Dec 2015
  • Christoph Kollwitz · Barbara Dinter · Robert Krawatzeck
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    ABSTRACT: The trend towards big data and business intelligence & analytics (BI&A) is still continuing. In the upcoming years, thousands of new jobs for data scientists will be established by the economy. Therefore, there is a need for well-educated graduates with deep analytical skills. In order to prepare students for their later profession and to teach them in analytics tools relevant for practice, related academic education is required. The BI&A sub-domains and tool categories (like text mining and web analytics) correspond to popular skill profiles. Since the market for BI&A tools is very large and hence hard to survey, this paper identifies and evaluates a number of tools for each BI&A sub-domain. The tools are evaluated with regard to university-specific requirements (such as expenses and available learning resources) and BI&A category-specific requirements (such as functionality). Based on the evaluation results recommendations for each tool category are given.
    No preview · Conference Paper · Dec 2015
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    Barbara Dinter · Christian Schieder · Peter Gluchowski
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    ABSTRACT: As a result of the increasing complexity in Business Intelligence (BI) systems, metadata management (MDM) gains relevance in order to sustain the manageability of enterprise-wide decision support systems. MDM is becoming even more challenging in the advent of the big data era. The paper at hand examines the status quo of MDM within BI and big data using a stakeholder lens. We differentiate three types of stakeholders (users, developers, and decision makers) and investigate, based on a survey, the potential benefits of MDM, the perceived need for MDM improvement, and the resulting challenges from the perspective of each stakeholder type. It is confirmed that the stakeholder perspective has impact on the assessment. In addition, we analyze the transition from BI-related to big data-related MDM. The results support decision makers in prioritizing and allocating resources for MDM initiatives.
    Full-text · Conference Paper · Aug 2015
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    Robert Krawatzeck · Anja Tetzner · Barbara Dinter
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    ABSTRACT: Verification and validation are two important processes in the software system lifecycle. Despite the importance of these processes, a recent survey has shown that testing of data warehouse systems is currently neglected. The survey participants named besides others modest budget and the lack of appropriate tools as potential reasons for this circumstance. In order to verify these reasons, the paper at hand presents an evaluation of unit testing tools suitable for data warehouse testing. To address the modest budget problem, the range of evaluation candidates is limited to no charge, open source solutions, namely AnyDbTest, BI.Quality, DbFit, DbUnit, NDbUnit, SQLUnit, TSQLUnit, and utPLSQL. The evaluation follows the IEEE 14102-2010 guidelines for evaluation and selection of computer-aided software engineering tools in order to guarantee benefits from a practioners’ as well as scientific point of view. It results in a detailed overview of how the testing tools meet criteria such as different testing functionalities. At least one tool, namely DbFit, can be identified as a promising candidate with regard to the requirements.
    Full-text · Conference Paper · Jun 2015
  • Robert Krawatzeck · Barbara Dinter
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    ABSTRACT: www.tandfonline.com/doi/full/10.1080/10580530.2015.1044336 (Please feel free to request a full text copy, if you need one) Based on a literature review, the article presents a catalog of 31 agile business intelligence actions suitable to increase the agility of business intelligence systems. The actions are classified by the categories “principles,” “methods,” “techniques,” and “technologies” and by their implementation level. In addition, the actions are assigned to business intelligence agility types, resulting in an agile business intelligence actions selection guide. Both artifacts provide benefits for scientists (identification of research areas) and for practitioners (implementation support).
    No preview · Article · Apr 2015 · Information Systems Management
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    Christian Schieder · Barbara Dinter · Peter Gluchowski
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    ABSTRACT: Im Zuge stetig steigender Komplexität in Business-Intelligence-Systemen nimmt auch die Bedeutung des Metadatenmanagements (MDM) kon-tinuierlich zu. Die vorliegende Studie untersucht den Status Quo des MDM in der Business Intelligence (BI) aus Sicht der drei BI-Stakeholder-Typen Endanwender, Entwickler und Entscheider. Die Ergebnisse veranschaulichen, in welchen Anwendungsgebieten des MDM derzeit Handlungsbedarf gesehen und wo die größten Herausforderungen für die Weiterentwicklung verortet werden. Bei den befragten BI-Stakeholder-Typen zeigen sich Abweichungen in der Bewertung der Anwendung des MDM in der BI-Entwicklung, im BI-Betrieb und in der organisatorischen Einbettung. Die differenzierte Analyse der Wahrnehmungen der drei Stakeholder-Typen liefert insbesondere BI-Entscheidern Anhaltspunkte für Priorisierungsentscheidungen unter Berücksichtigung der divergierenden Fach-und IT-Perspektiven.
    Full-text · Conference Paper · Mar 2015
  • Robert Krawatzeck · Barbara Dinter · Duc Anh Pham Thi
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    ABSTRACT: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7070386 http://www.computer.org/csdl/proceedings/hicss/2015/7367/00/7367e762-abs.html https://www.tu-chemnitz.de/wirtschaft/wi2/wp/wp-content/uploads/2015/05/20150530-SelfArchiving-HICSS2015-AgileBIActionsCatalog.pdf The need to develop Business Intelligence (BI) systems which are able to react to unforeseen or volatile requirements in a given time frame results from increasingly complex and dynamic organizational environments. This adaptation capability of BI systems is usually referred to as ‘BI agility’. Although a consensus within literature exists about the demand for agile BI systems, a structured overview on how such systems can be developed is missing. Closing this research gap, the paper at hand presents a catalog of Agile BI actions which is based on a comprehensive literature review. It includes 21 assessed actions suitable to increase the agility of BI systems. Therefore the catalog provides benefits to scientists (identification of research areas) as well as practitioners (identification of sophisticated actions for implementation). It consists of the four action categories ‘principles’, ‘process models’, ‘techniques’, and ‘technologies’.
    No preview · Conference Paper · Jan 2015
  • B. Gupta · M. Goul · B. Dinter
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    ABSTRACT: Business intelligence (BI), “big data”, and analytics solutions are being deployed in an increasing number of organizations, yet recent predictions point to severe shortages in the number of graduates prepared to work in the area. New model curriculum is needed that can properly introduce BI and analytics topics into existing curriculum. That curriculum needs to incorporate current big data developments even as new dedicated analytics programs are becoming more prominent throughout the world. This paper contributes to the BI field by providing the first BI model curriculum guidelines. It focuses on adding appropriate elective courses to existing curriculum in order to foster the development of BI skills, knowledge, and experience for undergraduate majors, master of science in business information systems degree students, and MBAs. New curricula must achieve a delicate balance between a topic’s level of coverage that is appropriate to students’ level of expertise and background, and it must reflect industry workforce needs. Our approach to model curriculum development for business intelligence courses follows the structure of Krathwohl’s (2002) revised taxonomy, and we incorporated multi-level feedback from faculty and industry experts. Overall, this was a long-term effort that resulted in model curriculum guidelines.
    No preview · Article · Jan 2015 · Communications of the Association for Information Systems
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    Babita Gupta · Michael goul · Barbara Dinter
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    ABSTRACT: Business intelligence (BI), “big data”, and analytics solutions are being deployed in an increasing number of organizations, yet recent predictions point to severe shortages in the number of graduates prepared to work in the area. New model curriculum is needed that can properly introduce BI and analytics topics into existing curriculum. That curriculum needs to incorporate current big data developments even as new dedicated analytics programs are becoming more prominent throughout the world. This paper contributes to the BI field by providing the first BI model curriculum guidelines. It focuses on adding appropriate elective courses to existing curriculum in order to foster the development of BI skills, knowledge, and experience for undergraduate majors, master of science in business information systems degree students, and MBAs. New curricula must achieve a delicate balance between a topic’s level of coverage that is appropriate to students’ level of expertise and background, and it must reflect industry workforce needs. Our approach to model curriculum development for business intelligence courses follows the structure of Krathwohl’s (2002) revised taxonomy, and we incorporated multi-level feedback from faculty and industry experts. Overall, this was a long-term effort that resulted in model curriculum guidelines. *** AIS owns the copyright and use for profit is not allowed. Please refer to http://aisel.aisnet.org/cais/policies.html#archiving for more information. ***
    Full-text · Article · Jan 2015 · Communications of the Association for Information Systems
  • Barbara Dinter · Robert Krawatzeck
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    ABSTRACT: Die Aufgaben wurden im Sommersemester 2014 von Prof. Dr. Barbara Dinter (TU Chemnitz) bei der Veranstaltung "Geschäftsprozessmodellierung und -management“ des Bachelor-Studiengangs Wirtschaftsinformatik und der Master-Studiengänge Kundenbeziehungsmanagement und Value Chain Management gestellt. Die 60-minütige Klausur umfasste 16 Aufgaben, von denen hier einige wiedergegeben sind. Zur Bearbeitung der Modellierungsaufgaben war ein Ausschnitt des BPMN-Posters zulässig. Bei der Lösung wirkte Dipl.-Inf. Robert Krawatzeck mit.
    No preview · Article · Nov 2014
  • Tobias Bucher · Barbara Dinter
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    ABSTRACT: Process-oriented information logistics is proposed as a novel concept aimed at supporting and improving the execution of an organization's operational processes by the embedding of analytic information and/or analysis capabilities into process execution. The article reports on findings of an exploratory study that is directed at identifying design factors and realization approaches of process-oriented information logistics. Based on this empirical analysis, so-called development situations are identified. They represent abstractions of situational characteristics that influence the applicability, effectiveness, and efficiency of an information systems development method. The development situations are systematized in a so-called context type vs. project type matrix. Insights into development situations of process-oriented information logistics are particularly useful for the engineering of situational methods aimed at the implementation and advancement of this concept.
    No preview · Article · Jul 2014 · Journal of Database Management
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    ABSTRACT: http://aisel.aisnet.org/ecis2014/proceedings/track11/12/ http://ecis2014.eu/E-poster/files/0825-file1.pdf http://www.interdisciplinary-curriculum-development.com/ The need for interdisciplinary programs for problem-based education increases. However, there is a substantial shortage of skilled boundary-spanning students, as prominently evidenced in the field of big data analytics. To solve this problem, this paper suggests a generic interdisciplinary IS curriculum process design model. The model considers education of students with deep knowledge in more than one discipline who possess the right skills that are needed by their future employers. It is applicable to various disciplines and potential combinations of these disciplines. Based on skills representing the consensus of corresponding communities and professionals, the model allows the definition of university specific constraints which are considered in the curriculum design. Besides the process design model we have implemented a prototype for a curriculum generator which supports the generation of concrete curricula. Through our approach that is based on the design science research paradigm, we formalize the curriculum development process which allows the fast and easy design of interdisciplinary programs.
    Full-text · Conference Paper · Jun 2014
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    ABSTRACT: Introduction to Minitrack.
    No preview · Conference Paper · Jan 2014
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    ABSTRACT: Methods are a common artifact within design science research (DSR). In the context of a research project we faced the challenge to develop a method and a software artifact in parallel. However, existing work in DSR and method engineering does not explicitly address the simultaneous development of two interdependent artifacts. Therefore, we developed a DSR process that allows the construction of so-called software-intensive methods. It considers the interdependencies of both artifacts and optimizes common DSR processes by including early feedback cycles for intermediate results - allowing the identification of initial design weaknesses like missing or dispensable design elements, inappropriate element design and usability flaws. The process has been applied and its feasibility has been demonstrated in the research project.
    Full-text · Conference Paper · Jun 2013
  • Barbara Dinter
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    ABSTRACT: Providing analytical information to all stakeholders in a timely manner remains, in the face of current challenges, a key issue in organizations. Information logistics (IL) extends present concepts of decision support like business intelligence by focusing on enterprise-wide information supply and the exploitation of synergies. The article investigates which factors play critical roles in the success of IL strategies. An empirical study by means of a causal analysis provides evidence for significant relationships between those factors and organizational performance. The study identifies comprehensiveness, flexibility, support, communication, IT strategy orientation, business/IT partnership, and project collaboration as influencing factors for IL strategy success. Not all success factors, however, validated in related strategy research can be confirmed in the IL context.
    No preview · Article · Feb 2013 · Decision Support Systems
  • Barbara Dinter · Michael Goul · Babita Gupta
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    ABSTRACT: Business intelligence (BI), ‘big data’ and analytics solutions are being deployed in an increasing number of organizations, yet recent predictions point to severe shortages in the number of graduates prepared to work in the area. New model curriculum is needed that can guide the proper introduction of BI & analytics topics into existing curriculum with an eye towards current developments in new dedicated analytics programs now becoming more prominent throughout the world. This paper focuses on adding appropriate elective courses to existing curriculum in order to foster development of skills, knowledge, and experience for undergraduate business information systems and Master of Science in Information Systems majors and MBAs. New curriculum must achieve a delicate balance between the level of coverage of a topic that is appropriate to student level of expertise and background, it must be initiated and evolve from faculty member-provided foundations, and it must reflect industry workforce needs. An approach to model curriculum development for business intelligence courses is followed resulting in curriculum guidelines for immediate implementation and feedback.
    No preview · Conference Paper · Dec 2012
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    Anja Lorenz · Annett Einert · Barbara Dinter
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    ABSTRACT: Szenarien mit Blended-Learning-Charakter sind Alltag an deutschen Hochschulen: Insbesondere durch die Verbreitung von Learning-Management- Systemen, in Sachsen namentlich „OPAL“, können Lehrveranstaltungen über die Präsenzveranstaltungen hinaus in nahezu allen Fachbereichen um computergestützte Lerneinheiten ergänzt werden. Nach der Etablierung von Web Based Trainings als typische digitale Ergänzungsmodule streben einige didaktische Konzepte die verstärkte Abstimmung von Präsenz- und Onlinephase an. In der jüngeren Zeit wurde vor allem die Idee des Flipped Classroom (auch Inverted Classroom genannt) diskutiert. Hierbei wird die traditionelle Aufteilung der Lehr-Lern-Aktivitäten, bei der die Wissensvermittlung in den Präsenzveranstaltungen und die Vertiefung des Gelernten in Übungen zu Hause stattfinden, vertauscht. Stattdessen erwerben die Studierenden das nötige Wissen online und im Vorfeld der Präsenzphase, in der dann mithilfe komplexer Beispiele und unter aktiver Einbeziehung der Studierenden das Verständnis gefestigt und durch den Lehrenden unterstützt angewendet werden kann. Auch die Großveranstaltung „Grundlagen der Wirtschaftsinformatik“ (GWI) an der TU Chemnitz soll im Übungsbetrieb durch ein Flipped-Classroom-Konzept verbessert werden. Hierfür werden bestehende Aufgaben mithilfe einer Fachlandkarte und der Bewertung der jeweiligen Lehrziele zu einem Online-Materialien-Pool aufgebaut. Die Präsenzphase soll zur stärkeren Einbeziehung der Studierenden in Form eines aktiven Plenums abgehalten werden.
    Full-text · Conference Paper · Oct 2012
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    Barbara Dinter · Anja Lorenz
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    ABSTRACT: The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research agenda for social BI. By means of a literature review we systematically explored previous work and developed a framework. It contrasts social media characteristics with BI design areas and is used to derive the social BI research agenda. Our results show that the integration of social media (data) into a BI system has impact on almost all BI design objects.
    Full-text · Conference Paper · Jan 2012
  • Tobias Bucher · Barbara Dinter

    No preview · Article · Jan 2012
  • Barbara Dinter

    No preview · Article · Jun 2011