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Enterprise Content Analytics

Project Description

The aim of the project is to evaluate the applicability of data-analytics methods for analyzing unstructured content in enterprise contexts. As such, the project is located at the intersection of data analytics and enterprise content management. The project work focuses on text-mining methods and evaluates their applicability for describing, explaining, and predicting organizational activities using internal and external content.

Relevance to Liechtenstein

The project deals with enterprise content management and (big) data analytics, two topics of high relevance for the regional industry. The project is conducted in close cooperation with two regional companies, Hilti and Ivoclar Vivadent. The project results will be made available to other companies in workshops and presentations.

Keywords

Enterprise Content Management (ECM) Big Data Content Management Document Management Data analytics

Project Participants

Employee
PD Dr. habil. Christian Marxt
- Koreferent
Koreferent
Employee
Prof. Dr. Johannes Schneider
- Principal Investigator
Professor - Artificial Intelligence and Data Science
Principal Investigator
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Employee
Prof. Dr. Oliver Müller
- Project Collaborator
Project Collaborator
Employee
Dr. Alexander Simons
- Project Collaborator
Project Collaborator
Employee
Prof. Dr. Jan vom Brocke
- Project Collaborator
Visiting Professor - Information Systems and Process Science
Project Collaborator
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Employee
Dr. rer. oec. Roope Jaakonmäki MSc
- Project Collaborator
Project Collaborator