In the field of Data Science, defining and examining the digital transformation needs and problems of public institutions and organizations in application and data layers in line with an architecture, ontology, conceptualization, data dictionary and interoperability studies, and data models of processes that determine the properties, behavior and flow of the information obtained in solving needs and problems. Solutions are planned for creating and analyzing data, determining data properties and relationships.
• Ontology and Modeling
• Interoperability
• Business Intelligence and Analytics
• Artificial intelligence
• Information Management
• Process Mining
• Robotic Process Automation
• Data and e-Document Modeling
• Qualitative Analysis and Modeling
• Big Data
• Open Data
Services offered in the field of Data Science.
