Business Intelligence
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Das Buch befasst sich mit der Bereitstellung von Daten und Verfahren für analytische Zwecke (Planung, Entscheidung, Controlling sowie Fehlerrückverfolgung) in Unternehmen sowie der notwendigen Rechenleistungen. Die Autoren erläutern die Datenbereitstellung mittels Data Warehouses, Auswertung mittels OLAP-Operationalität und geeignete Verfahren der explorativen Datenanalyse. Bei den Verfahren des Operations Research werden Simulation und Lineare Optimierung dargestellt. Neben erfolgreichen Anwendungen und Fallstudien steht das Verständnis der zugrundeliegenden Algorithmen und Datenstrukturen, die für das Erlernen der BI-Verfahren zwingend notwendig sind, im Vordergrund.
Hans-J. Lenz
1973: Promotion (Dr. rer. pol.) in Statistik und Operations Research, Freie Universität Berlin
1976: Habilitation (venia legendi) in Statistik und Operations Research, Freie Universität Berlin
1978 - 2008: Professor für Datenverarbeitung und Statistik im Institut für Produktion, Wirtschaftsinformatik und Operations Research sowie am Institut für Ökonometrie und Statistik, Freie Universität Berlin
1978: Professur für Statistik an der Universität Bonn abgelehnt
1993, 1996-97: Gastprofessor am Lawrence Berkeley Natl. Lab, Dept. of Computer Science Research and Development, Berkeley, California, USA
1997-2006 Mitglied im Berlin-Brandenburger Graduiertenkolleg "Verteilte Informationssysteme" zwischen FUB, HUB, TUB und TU Cottbus
2008: Emeritierung
Roland M. Müller
Seit 2010 Professor für Wirtschaftsinformatik, insbesondere Business Intelligence, HWR Berlin
Seit 2010 Visiting Professor, Hasso Plattner Institut, School of Design Thinking, Potsdam
2006-2010 Assistant Professor for Knowledge Management and Information Services, Department of Information Systems and Change Management, School of Management and Governance, University of Twente, Niederlande
Gründer und Software-Architekt eines Podcast Portals
Wissenschaftlicher Mitarbeiter im EU-Projekt PARMENIDES: Ontology Driven Temporal Text Mining on Organisational Data for Extracting Temporal Valid Knowledge
Entwicklung von Text-Mining-Verfahren zur Ontologie-Anreicherung Projektpartner u. a.: Otto-von-Guericke-Universität Magdeburg, Unilever, Biovista, Uni Zürich, Uni Manchester
Promotion in Wirtschaftsinformatik, Freie Universität Berlin (Dr. rer. pol., summa cum laude): "Knowledge Sharing and Trading on Electronic Marketplaces"
Stipendiat des Berlin-Brandenburger Graduiertenkollegs für "Verteilte Informationssysteme" (Sprecher Prof. Günther, HU Berlin)
Dozent ander HHL Leipzig
IT-Consultant für Business Intelligence, Scopeland Software Inc., San Francisco, USA
Studium der Volkswirtschaftslehre, Freie Universität Berlin
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