Skip to main content

You Say You want a Revolution

The call for better data has been a mantra for many years.

Big Data



Enrico Giovannini


Eva Jespersen

Last year the United Nations Secretary General’s High Level Panel Report on the Post-2015 Development Agenda called for a “data revolution”.

“You say you want a revolution” sang John Lennon. “Well you know, we all want to change the world”. The Beatles may have been singing about the political protests of the 1960s but their song was echoed in some of the reactions to the High Level Panel’s call. No one is against the need for more - and more reliable - data to inform development analysis, monitoring and policy making. Indeed, the call for better data has been a mantra for many years. But a number of voices asked what a revolution would look like and to what purpose? They noted that, in some countries at least, plenty of data are collected but not used. The challenge is also about creating a “data liberation” and stimulating a greater demand for – and capacity to use - data.

And so the United Nations Secretary General formed an Independent Advisory Expert Group (IAEG) on “Data revolution for development”. Our group has been asked to craft a framework on what the “data revolution for development” would mean in practice, what institutional and governance implications this would entail and what are the funding implications. Specifically, our Group has been asked to consider how to fill data gaps and strengthen national statistical capacities. We have also been asked to consider what new opportunities might be afforded from both innovation and new data – including Big Data – and how this might complement existing statistical systems. How, we are asking, can data best support the sustainable development goals process, and strengthen accountability across the world?

This is a challenging task. Even more challenging is our timeline: we have been asked to report by the beginning of November, and last week the group held its first meetings in New York and consulted with a wide range of people from Civil Society.

It is also an important task, particularly for those with an interest in human development. Data has always been fundamental to United Nations Development Programme’s human development reporting. The reports have prided themselves on ensuring that their analysis and recommendations were based on reliable data, while the reports are also a key custodian of development data, with the Human Development Index (HDI) the most famous data item.

Human development is much broader than the measures within the HDI. Income, longevity and knowledge (measures of which together comprise the HDI) are essential components of human development but by no means the only components. Participation, voice and freedom, particularly empowerment and agency; human security; equity; and sustainability are all also fundamental to human development. These facets are fundamental perhaps. But they are often not easy to measure, both

  • conceptually - how could one measure generalised empowerment for example?; and
  • statistically - how could one accurately measure change in biodiversity when so much is unknown about so many species?

Can a data revolution really help? Our answer, so far at least, is a cautious – a very cautious – “yes” to both areas.

Much has already been said about Big Data and our Group is paying close attention to it. As is now well known the world is creating enormous and unprecedented amounts of data. Even in 2010 (when much less data was being produced than today), Google chief Eric Schmidt argued that the globe was creating as much data every two days as had been created between the dawn of civilization and 2003! Citizens, businesses and public and private institutions are the engine of this process, providing data on just about anything imaginable. In parallel, sensors, satellites and other tools produce real-time data on the environment, people’s movements and more. While others are analyzing social media data to try to gauge anything from a community’s subjective wellbeing to rising food prices.

This all has considerable potential to allow us to measure those aspects of human development that count, but are not yet counted. Big Data also holds the promise of producing statistics almost instantaneously – so called “nowcasting” – and allowing disaggregation to levels of details hitherto undreamt of outside of a population census. But we also need to understand better the risks of Big Data and to agree global principles to ensure it is used wisely and ethically.

All of this will help improve decision making. But Big Data alone will not be enough. Many countries still lack basic data about their economic, social and environmental conditions. Data on key aspects of people’s wellbeing are still missing, especially for the most vulnerable and for the “invisible” groups. Moreover, even where data are available, decisions are often not based on evidence. Related to this a lack of data literacy also needs to be addressed: far too many people do not have the skills necessary to understand and use data. And this is important not only for the quality of their decisions, but also for their ability to hold policy makers accountable. Media, when they report statistics at all, sometimes still inaccurately report data. And so the “statistics, knowledge and policy” chain is broken in several places.

Another key concern that official statisticians understand better than most is the importance of data privacy. For every potential benefit Big Data offers, there is an equal but opposite risk that an unscrupulous government or group might use the same data to do harm rather than good. Imagine, for example, how much more terribly efficient ethnic cleansing might be with the help of big data. We must be cautious as we move forward.

And so while it is much too early to speculate on what our final report might say, we do believe that whatever the revolution holds, it must not become a struggle between an ancient regime of traditional official statistics and a new Big Data Republique. A worthwhile revolution will provide a means for Big Data scientists and official statisticians to work together as partners and complement one another. Fraternity, quality, privacy! will be our motto.

Enrico Giovannini is the co-chair of the IAEG and is a professor at Tor Vergata University in Rome. He was previously the Italian Minister for Labour and Social Policy, the head of the Italian Statistics Office (ISTAT) and Chief Statistician and the Organisation for Economic Co-Operation and Development.

Eva Jespersen is UNDP’s representative on the IAEG. She is deputy director of the Human Development Report Office and earlier guided a number of data initiatives at UNICEF’s Innocenti Research Centre.

For more information about the work of this Experts Group visit

Follow the #DataRevolution discussion @Data_rev

Photo credit:

The HDialogue blog is a platform for debate and discussion. Posts reflect the views of respective authors in their individual capacities and not the views of UNDP/HDRO.