DataBench paper “Big Data key performance indicators” accepted at itAIS conference

The DataBench team is pleased to announce that the paper “Big Data key performance indicators” (by Barbara Pernici, Chiara Francalanci, Angela Geronazzo, Lucia Polidori, Stefano Ray, Leonardo Riva, Arne Jørgen Berre and Todor Ivanov) has been accepted for presentation at the XV edition of the itAIS conference.

itAIS is the conference of the Italian chapter of AIS (Association for Information Systems) which will take place on October 12th -13th, 2018 at the University of Pavia, Italy.

Find more: itAIS Conference

Abstract

The use of big data in organizations involves numerous decisions on the business and technical side. While the assessment of technical choices has been studied introducing technical benchmarking approaches, the study of the value of big data and of the impact of business key performance indicators (KPI) on technical choices is still an open problem. The paper discusses a general analysis framework for analyzing big data projects wrt both technical and business performance indicators, and presents the results emerging from a first empirical analysis conducted within European companies and research centers within the European DataBench project and the activities of the benchmarking working group of the Big Data Value Association (BDVA). An analysis method is presented, discussing the impact of confidence and support measurements and two directions of analysis are studied: the impact of business KPIs on technical parameters and the study of most important indicators both on the business and on the technical side, for specific industry sectors, with the goal of identifying the most relevant design criteria.