Big data in central banks focus report 2017
The second Central Banking journal focus report on big data expands on the original study from 2016, assessing how challenges have evolved in the past year
The updated survey of big data use among central banks reveals how central banks are increasingly treating big data as an input into policymaking, as well as a pioneering area of economic research. Data governance is a major issue that many are grappling with. Other articles include an interview with the European Central Bank’s Per Nymand-Andersen, a feature on machine learning, a roundtable discussion – and more.
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The rapid evolution of data
As big data enters the mainstream, it is critical to understand how it can transform our thinking, but also to be realistic about its shortcomings and biases
Teaching machines to do monetary policy
Machine learning may not yet be at the stage where central bankers are being replaced with robots, but the field is bringing powerful tools to bear on big economic questions
Making the most of big data
Per Nymand-Andersen, adviser to senior management at the European Central Bank, discusses how central banks can benefit from embracing big data and what this could mean for the industry in the near future.
Big data in central banks: 2017 survey
As an active area for new projects, big data is becoming a fixture in policymaking, with an increasing number of central banks carving out a budget for data handling, writes Emma Glass.
Collaboration is key to central banks making the most of data
As data becomes increasingly significant for central banks, working with the right people and employing the right approaches is central to meeting objectives, says Maciej Piechocki of BearingPoint.
Tapping into big data’s potential
Central Banking convened a panel of experts to discuss how central banks can harness big data for their needs, hopefully without falling foul of some of the many pitfalls that await.
Sponsored forum: Tapping into big data's potential
Central Banking convened a panel of experts to discuss how central banks can harness big data for their needs, hopefully without falling foul of some of the many pitfalls that await.
