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While big data has the potential to make a significant contribution to international development, that potential is currently constrained by a number of barriers. Systematic analysis of those barriers is rare, so this paper applies the design-reality gap model to identify and evaluate barriers to effective use of big data in one context: the Colombian public sector. The model provides a structured framework that exposes a broad set of barriers, and also helps highlight priority areas for action to accelerate the application of big data. The design-reality gap model can also be seen to provide the basis for related analyses such as readiness for big data, and risk identification for big data initiatives in developing countries.

Measuring the Barriers to Big Data for Development: Design-Reality Gap Analysis in Colombia's Public Sector