Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Note that link provided above includes additional terms and conditions of the license. Using Big Data and its Analytical Techniques for Public Policy Design and Implementation in Latin America and the Caribbean AbstractThis paper discusses the constantly changing definition of big data and portrays the landscape of the most widely used analytical techniques in the context of public policy formulation in Latin America and the Caribbean. It also presents the conclusions drawn from three exploratory studies conducted by sector teams of the Inter-American Development Bank regarding firm-level productivity, sustainable urban mobility, and smart cities. Based on these studies, the paper addresses sensitive issues surrounding the use of big data in public policy, such as data security and ownership, privacy, ethical framework of data use, among others. The paper concludes by making recommendations for government agencies regarding the use of public value intelligence and suggesting a competency rubric for "smart consumers" of big data. The target audiences are primarily the decision makers in different sectors of the governments in the region, public sector professionals, and social and economic development specialists.
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