This paper considers Big Data’s potential to partly fill some key data gaps and complement or even replace official statistics. Data-Pop Alliance offers the specific case of Côte d’Ivoire, using Call Records (CDRs) from Orange in conjunction with two other datasets, the WorldPop dataset, which provides population data derived from satellite imagery, and the recently released 2013 Demographic and Health Survey (DHS). The paper intends to predict multidimensional poverty at the sous-prefecture and sub-national levels; and to predict the population of the 11 sub-national regions of Côte d’Ivoire and its 255 sous-prefectures (sub-districts).