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WI II - Wirtschaftsinformatik im Dienstleistungsbereich | Services - Processes - Intelligence | Prof. Dr. Freimut Bodendorf

Contact

Universität Erlangen-Nürnberg
Lehrstuhl Wirtschaftsinformatik II
Lange Gasse 20
90403 Nürnberg
Germany

phone number

(0911) 5302 - 450

telefax number

(0911) 5302 - 379

room number

Room 4.446

map and directions

Map and directions

Freimut Bodendorf

Haithem Derouiche

Sebastian Huber

Johannes Kröckel

Matthias Lederer

Alexander Piazza

Christian Zagel

Bachelor

Lehrveranstaltungen im SS 2012:

Termine:

Master

Courses summer term 2012:

ASM; BIR; DWH;
IS; IBP; ISE

Master programs: IIS, IBS, Informatik, Management, Marketing, Wing, Wipäd, Wima

Important dates:

research overview

Research Overview

Research at the Department of Information Systems II focuses on new technologies as well as innovative strategies and solutions in the fields of Service Business.
Examined are especially systems and technologies to optimize processes (Business Process Management) and harness information resources (Business Intelligence).

Research Projects

List of the current research projects at WI II

Recent Publications

Matthias Kurz: BPM 2.0; Ein Business Case bei einem Unternehmen des Großanlagenbaus und ein Use Case bei einem Unternehmen der Automobilindustrie. In: 2nd Open Processes Community Meeting, Open-Processes.org, Koblenz 2012.

Matthias Kurz; Sebastian Huber; Bernd Hilgarth: ProcessWiki; A Contribution for Bridging the Last Mile Problem in Automotive Retail. In: S-BPM ONE 2012, Springer, Vienna 2012, S. 151-167.

Matthias Kurz; Gunnar Billing; Karl Hettling; Holger von Jouanne-Diedrich: PCA-C; A Process-Centric Approach for Integrating and Managing Cloud Services. In: Christian Stary (Hrsg.): S-BPM ONE 2012, Springer, Vienna 2012, S. 127-144.

Kontakte zu Wirtschaft und Wissenschaft

Der Lehrstuhl Wirtschaftsinformatik II kooperiert im Rahmen von Forschung und Lehre mit einer Vielzahl an Unternehmen, Universitäten und Forschungsinstituten.

Kooperationsmöglichkeiten bestehen unter anderem im Rahmen von:

Forschungsprojekten
Gastvorträgen
Abschlussarbeiten
Exkursionen
Fallstudien

industry partners

Data-intensive Business Analytics

Data-intensive Business Analytics

Diese Seite ist auch in Deutsch abrufbar:
Data-intensive Business Analytics

Abstract

The focus of the project data-intensive business analytics is to analyze how companies can exploit emerging techniques for managing and analyzing massive data-sets for knowledge discovery and data-driven decision making.

Research Picture

Forschungsbild data-intensive business analytics

Project Description

Business Analytics has a significant influence on the performance of companies. According to the annual New Intelligent Enterprise Global Executive study, the top-performing companies are twice as likely to apply analytics to their daily activities. In the same time the amount of data which is created by humans and machines is growing dramatically. Currently there are emerging new kinds of techniques for storing and analyzing so-called “Big Data” efficiently. The focus of this research project is to determine the new opportunities and challenges which companies are facing due to the emergence of Big Data.

last edited by Alexander Piazza on 2012-02-06 09:16:34 | Sitemap | Intranet | Imprint