Our wide-ranging competencies across the central areas of data science offer a broad variety of possibilities of cooperation.
|Automatic and interactive semantic matching methods for conceptual models, database schemas and process models.
|Combining Analytics and Decision Support
|Predict activities based on low level sensor data and derive process descriptions as a basis for decision support.
|Unstructured Data Analysis
|State of the art methods from information retrieval and text analytics for supporting document-oriented processes in companies.
|Communications and Diffusion Strategies in Social Media
|We analyze communications, seeding and diffusion strategies and suggests policies on how to capitalize on online social networks in order to increase brand awareness.
|From Customer Journey Analytics to Digital Customer Management
|In our research, we develop key metrics and tools on how to gain insight and derive implications from big data on consumer behavior. In the context of social listening, we determine how your brand or industry is perceived by customers by analyzing digital news.
|Revenue Models in the Digital Age
|The focus of our research is to find insights on how to determine the optimal price strategy for paid content, how to decide on how much content should be paid and how to ultimately maximize revenues from users and advertisers.
Contact person for business requests with MCDS
For further information please contact Dr. Lea Oberländer.