There is no shortage of buzz about Big Data in the anticorruption world. It’s everywhere — from public efforts like Transparency International’s public procurement analysis to cutting-edge private-sector FCPA compliance programs implemented by Ernst & Young. TI has blogged about Big Data and corruption, with titles like “Can Big Data Solve the World’s Problems, Including Corruption?” and “The Potential of Fighting Corruption Through Data Mining.” Ernst & Young’s conclusion is more definite: “Anti-Corruption Compliance Now Requires Big Data Analytics.”

In previous posts, contributors to this blog have written about how the anticorruption community was excited about social media-style apps (“crowdsourcing”) in anticorruption efforts. Apps like iPaidABribe allow citizens to report their encounters with corrupt officials, generating a fertile data set for anticorruption activists. Big Data is a related effort: activists can mine huge amounts of data for patterns that reveal corrupt activity, making it a powerful tool for transparency. However, as the name suggests, Big Data requires massive amounts of data in order to be useful.The anticorruption community should throw its weight behind proposals to open up data sets for Big Data analysis. As with crowdsourced anticorruption efforts, the excitement surrounding Big Data could quickly turn into disappointment unless this tool can be integrated into the broader anticorruption effort. Continue reading →