Dan Robinson reveals the natural connection between Insurance and being data-driven, demonstrates the organisational and business benefits of being data-driven, and provides 4 steps for insurance companies to use these insights to become more data-driven.
Adina Gabriela Stavar explains the importance of a Data Maturity Model as the foundation of enterprise data management and describes five different levels of data maturity, from building data awareness to leveraging data to extract relevant business insights from data.
Gabriel Preda revisits Endava’s contribution to the NASA COVID-19 Space Apps Challenge in May 2020, when the disease was still on its way from epidemics to global pandemic. He shares how the team used a wide range of scientific data to analyse possible correlations with COVID-19 emergence and how such a model can benefit complex data analysis projects in general.
Stefana Belbe presents an extended abstract of an academic research paper co-authored by her and her research colleague Codruta Mare on the “Spatial Clustering Behaviour of Covid-19 Conditioned by the Development Level: Case Study for the Administrative Units in Romania”, including the data analysis methods employed and the main findings.