Aufgrund der Besonderheiten analytischer Informationssysteme unterscheidet sich deren Entwicklung von traditionellen Ansätzen im transaktionsorientierten Umfeld. Insbesondere für die Anforderungsanalyse und deren informatorischen Teil, die Informationsbedarfsanalyse, sind spezielle Ansätze notwendig. Im vorliegenden Beitrag wird analysiert, wie der Stand der Forschung in diesem Gebiet weiterentwickelt werden muss. Auf dieser Grundlage wird untersucht, welche Anforderungen aus Sicht der Praxis an eine systematische Informationsbedarfsanalyse gestellt werden. Die Umfrage orientiert sich dabei an den fünf traditionellen Kernaktivitäten der Anforderungsanalyse und unterstützt die Konsolidierung und Diskussion der identifizierten Ausbaupotenziale. Eine Weiterentwicklung sollte aus Sicht der Praxis insbesondere in den Bereichen Validierung und Bewirtschaftung, aber auch Gewinnung von Informationsbedarfen erfolgen. Aufgrund der verhältnismäßig langen Lebenszyklen analytischer Informationssysteme wird im Beitrag die Einführung einer Prozessperspektive diskutiert, welche die kontinuierliche Gewinnung, Dokumentation und Bewirtschaftung von Informationsbedarfen an analytische Informationssysteme gewährleistet.

Due to specific characteristics of analytical information systems, their development varies significantly from transaction-oriented systems. Specific method support is particularly needed for requirements engineering and its information-related component, information requirements analysis. The paper at hand first evaluates the state of the art and identifies necessary method support extensions. On this basis, method support requirements for information requirements engineering are identified. The survey is structured along the five core activities of traditional requirements engineering. It reveals a need for further research especially on information requirements elicitation, validation, and management. It further contributes to a discussion of aspects that should be considered by any method support. Due to comparatively long life cycles of analytical information systems, the introduction of a process perspective is discussed in order to ensure the continuous elicitation, documentation, and management of information requirements.

Albeit a given extensive availability of analytical information systems (AIS), acceptance and usage of these systems can be estimated as rather low. In order to increase the awareness level of AIS within corporations, to expand the user base, and to establish AIS as a central, enterprise-wide foundation for decision support, the responsible departments need to address the marketing of their services. This includes e.g. the definition and communication of their service portfolio and the identification and analysis of user groups. In this paper, we develop a procedure model for the in-house marketing of AIS. Theoretically well-grounded in service marketing and relationship marketing and practically substantiated through expert workshop and an empirical investigation, the procedure model offers a structured foundation for in-house marketing initiatives in the context of AIS. The procedure model consists of the four phases (analysis, planing, execution, and control) and twelve particular activities, which allow corrective returns in between the single activities.

Today’s analytical information systems demand innovative architecture concepts in order to address requirements like flexibility and faster time-to-market. Service-oriented architectures (SOA) as a current trend might meet these challenges. So-called BISOA describes the approach of deploying SOA in Business Intelligence systems. We identified two research questions aiming at finding insights about the interdependencies of BISOA and the organization’s system landscape: What are the dominant design factors of BISOA and what are the distinct realization approaches of BISOA? The paper answers the questions by means of empirical research. Besides the factor describing the degree of BISOA realization, three further design factors resulted from the analysis: excellence in embedded Business Intelligence (BI), process orientation, and excellence in data management. Depending on the factors distinct approaches of real-world organizations to deploy SOA in BI systems were derived. These profiles allow us to gain insight which aspects have to be considered besides mainly technical oriented implementation issues for BISOA. Surprisingly, there does not exist such a strong correlation between BISOA and operational BI as often assumed.

This study identifies typical scenario patterns in information logistics and explores the impact of a broad context of factors such as strategy, organization, processes, and systems on the shaping of those patterns. Based on an empirical investigation, the current state of information logistics is analyzed. The results reveal three common information logistics scenarios: (S1) Balanced, (S2) Standard biased and (S3) Quality and strategy biased. Each scenario is analyzed by taking into account different factors. The four predominant factors identified in this study are (F1) Centralization and process integration, (F2) Quality, (F3) Standardization, and (F4) Sophistication of strategy. It is important to understand which information logistics scenarios exist and how these are shaped. This knowledge is necessary to systematically adapt methods and conceptual models for information logistics design to specific situations.

A significant amount of results have been produced recently in the area of ontology research.Increasingly semantic concepts are applied not only to enable system to system interaction and dataexchange through unambiguous modelling of a certain domain, but also to enable univocalcommunication between human beings working on a certain domain. Reuse of ontology researchresults is however hindered by different underlying meta-models, incompatible formalization and thelimited availability of content. In this paper we therefore analyse issues of reusing ontologies in thecontext of an ongoing research project that aims to develop a methodology for modelling the processlandscape of public administrations in order to measure qualitative and quantitative impacts ofInformation and Communication Technology using semantic models and reasoning functionality.Seven ontology research projects are identified to be relevant candidates for reuse in this project andare categorised by relevant characteristics of reuse. Based on this analysis, a framework that definesrequired information to enable accurate characterisations of ontology research results in an ontologylibrary system is presented. Thereby existing approaches are extended in order to enable discoveryand facilitate reuse of ontology results from European research projects based on structural andcontent-related information.

Informations- und Kommunikationstechnologien (IKT) konnen die Qualitat der Leistungserstellung verbessern und die Informationsverfugbarkeit steigern. Die dazu erforderlichen Investitionen sind schon heute recht genau berechenbar. Schwieriger ist die Abschatzung moglicher Einsparungs- und Nutzenpotentiale, deren Bewertung eine weitere wichtige Grundlage fur fundierte Investitionsentscheidungen darstellt. Das EU-Projekt PICTURE adressiert diese Problematik, indem Methoden zur Messung qualitativer und quantitativer Auswirkungen von IKT auf die Prozesslandschaft der offentlichen Verwaltung entwickelt und in einem Tool umgesetzt werden. Dieser Beitrag beschreibt den PICTURE-Ansatz an Hand eines Fallbeispiels.

Support of processes by appropriate Information and Communication Technology (ICT) is a key requisite to persist in an environment characterised by high specialisation and cooperative service production also in the public sector. This paper describes a method for pattern-based semantic process analysis including its prototypical implementation. The objective is the identification of weaknesses as well as the analysis of ICT impact with regards to reducing or eliminating these weaknesses. Using this approach, business analysts can rely on an extensible and flexible tool for querying in a natural language close way and analysing process models by means of weakness patterns.