Rolando Avendano (Asian Development Bank), Johannes Jütting, and Manuel Kuhm (PARIS21) focus on the challenges and opportunities of the SDG indicator framework. They analyse three core problems associated with the data demands of the framework: the overburdening of national statistical systems, the increasing number of coordination failures between different actors of the data ecosystem, and a persistent lack of funding for statistical modernisation. The authors argue that the alignment of global requirements with national priorities; new forms of inclusive cooperation fostering trust, mutual learning, and accountability; and a global financing facility for development data are possible solutions to overcome key challenges of tracking progress towards the 2030 Agenda. The chapter concludes with an outlook on the role of data in the future of development cooperation.