Advanced Data Analytics

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)