In recent decades, international migration flows have not only been increasing in numbers, but become increasingly complex, creating new challenges for migration management for governments around the world. Consequently, new technological solutions and approaches have been developed and adapted to allow countries to deal better with the permanently changing realities of international migration.
A central pillar of those is the better use of data to run migration management systems effectively and to make smarter and context-relevant decisions. This conference explores the ways in which data can be used to enrich decision-making processes in migration management and how to facilitate the development of a data-driven decision-making culture in the field.
Data-driven decision-making (DDDM) is the process of organizational decision-making based on real data analysis rather than intuition and observation that has been gaining momentum in recent years in different sectors and organizations around the world. This conference seeks to facilitate first and foremost technical discussions on possibilities, limitations and risks associated with this approach in the field of migration.
Both Online Transactional (OLTP) and Online Analytical (OLAP) Processing systems will be discussed during the conference. OLTP systems capture, store, and process data from transactions in real time and are employed to optimize procedures and to ensure data integrity when dealing with increasingly complex systems and numbers. OLAP systems, on the other hand, use complex queries to analyze aggregated historical data from OLTP systems to help countries to facilitate better data-driven decision-making by validating a course of action before committing to it.
The conference is organised by EMN Georgia and EMN Estonia as a hybrid event taking place in Georgia and online. The working language of the conference is English.
Please find the preliminary agenda and register for the conference here: https://www.emn.ee/en/event/dddmconference2022