Data Analytics
Aim: To integrate and store all available (heterogeneous) data and to develop new methods, tools, and algorithms for implementing a variety of analytical techniques for extracting new meaningful insights.
Project Innovation: New state-of-the-art methods, tools, and algorithms for ensuring data quality and extracting meaningful insights. New business-oriented services for decision making.
Key Tasks
Data integration and storage:
- Data cleaning and reconstruction of faulty/missing data
- Data integration techniques for fusing data together
Data mining:
- Algorithms for extracting useful information out of the data based on user requirements (e.g., KPIs, correlation)
Decision support services:
- Develop business-oriented services that support organizational decision-making activities (e.g., scheduling allocation of ships to port services, stowage planning)