Abstract
Abstract Data driven analysis is proven to create a competitive advantage to business. Governments and nonprofit organizations also turn to Big Data to harness its benefits and use it for social good. Among different types of data sources, location data collected from mobile networks is especially valuable for its representativeness, real-time observation, and versatility. There is a distinction between mobile positioning data (MPD) generated by the exchanges between mobile devices and the core network; versus over-the-top or system-level location data collecting individual GPS location. MPD is composed of all mobile network events regardless of the mobile phone brand, operating system, app usage, frequency bands or mobile generation; it is uniform and ubiquitous. Getting the best out of MPD relies on the knowledge of how to create an advanced algorithm for homogeneously processing this massive, complex data into insightful indicators. Anonymized and aggregated MPD enables the testing of multiple combinations with other data sources, fully abiding by GDPR, to arrive at innovative solutions. These unique insights can help tackle societal challenges (the state of mobile data for social good June 2017 GSMA, UN Global pulse). It can help to establish accurate statistics about population movements, density, location, social patterns, finances, and ambient environmental conditions. This article demonstrates how MPD has been used to help combat Covid-19 in Europe, the Middle East, and Africa. Furthermore, depending on the future direction, MPD and data analysis can serve powering economic development as well as working toward the Sustainable Development Goals, whilst respecting data privacy.
Highlights
Big Data at Orange The strategic mission of Orange is to improve the daily lives of customers and to deliver a user-friendly digital service with a purpose
A fundamental rule of Orange mobile big data analytics is to set up a vision governing how to responsibly harness this data
We focus on the ability of data from mobile services to understand population behaviors and patterns of communication, to create a ground-truth dataset to support observation of Covid-19, and eventually to develop a predictive model
Summary
Big Data at Orange The strategic mission of Orange is to improve the daily lives of customers and to deliver a user-friendly digital service with a purpose. Orange has collaborated closely with health and medical research institutes in France (INSERM3) since March 2020 to assess the value of the service to help predict the spread of epidemics. The goal of this collaboration is to create a tool for predicting the spread of epidemic diseases such as Ebola within a country, based on mobility data extracted from Orange mobile networks. The principle is simple: movement flows between geographical areas are measured and epidemiological models are applied to test and to deduce, from various results, how contagious the virus is This can be used to help forecast how the disease will spread across an area, facilitating better decision-making around health measures
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