Datafication, value and power in developing countries: Big data in two Indian public service organizations

Abstract

AbstractMotivationDatafication—the growing presence, use and impact of data in social processes—is spreading to all sectors in developing countries. But, to date, there are few analyses of real‐world experiences of datafication in developing country organizations.PurposeWe address this knowledge gap by analysing evidence of big data in practice in relation to three key issues: implementation, value and power.Approach and methodsUsing interview, observation and documentary sources, we analyse the implementation and impact of big data systems in Indian electricity and transport public sector organizations.FindingsBig data systems have been much slower to implement than anticipated, and the article exposes the nature and scale of the implementation challenge facing such systems. These are already delivering value for some managers within public service organizations but are, as yet, more operational than strategic and incremental not transformative. Big data systems are facilitating a shift in power from the public sector to the private sector, and from labour and middle management to panopticon‐type control by central managers. Big data intersects with politics especially around the imaginaries of wider stakeholders, changing their view of the financial and political issues that technology can address.Policy implicationsPolicy‐makers and practitioners can better understand and plan for big data in development using three frameworks presented in the article: information value chain, decision pyramid, and big data–power model. These expose key issues of implementation, organizational value and power that must be incorporated into big data policy and projects. Benefits of datafication have been largely restricted to senior managers, private contractors and some politicians. To spread these to other stakeholders, including workers and citizens, action must be taken to address both practical and political issues arising in the datafication of development.