Presenter: Anastasia Griva
Date: 24 February 2026

This presentation explores how analytics shape decision-making in real organisational and societal contexts. It draws on two examples: an industry-based analytics collaboration with Intel’s R&D centre, where internal data were analysed to challenge assumptions about requirements quality and performance; and an ongoing mixed-methods research that combines qualitative fieldwork with analytics to identify temporal rhythms in digital news production. Across these contexts, I demonstrate how data-driven analysis uncovers hidden patterns, challenges managerial assumptions, and shows how analytics influence organisational decision-making and behaviour. Framed around this research theme, the presentation also offers an integrated view of my academic work in AI and analytics across research, teaching, and leadership activities.

Biography

Anastasia Griva is an Associate Professor in the Business Information Systems Discipline at the University of Galway, Ireland, and a funded investigator at Lero, the SFI Research Centre for Software. Her research focuses on Business Analytics, Responsible AI, Customer Behaviour, and Data-Driven Innovation. She conducts applied research in collaboration with companies such as Intel, Microsoft, Ericsson, Spotify, Pinterest, Ahold Delhaize, and others. She has published in leading international journals including IS Journal, IS Frontiers, IT & People, International Journal of Information Management, Journal of Retailing and Consumer Services, IEEE Software, and Expert Systems with Applications, among others. She serves as the research funding lead in her Discipline and has contributed to €5.6M in research funding, with a personal share of €2.2M as Principal Investigator (PI)/Co-PI. She has also contributed to research commercialization as co-founder of two AI and analytics start-ups that have raised more than €1.6M in VC funding.