Data Impacts

Case Studies from the Data Revolution

Data Revolutions

Data Revolutions – How Information Turns Into Impact

The promise of the data revolution is being fulfilled. This report summarizes the lessons from the case studies on how data leads to impact. View full report

The Political Economy of Data

Data form the bedrock of evidence-based decision-making, both public and private. To fulfill their purpose, data systems need political, technical, and financial support by governments committed to open data.

Data Quality

Data quality leads to trust in the source and more use of data. To meet the growing demand for data, new investments are needed in systems and processes that yield high quality data.

Data Disaggregation

To understand complex relationships, data must be sufficiently disaggregated to represent all relevant groups. Disaggregation by gender, age, ethnicity, and location are most important.

Data Transparency and Openness

Data produced through public funds should be made available to the public as “open by default.” Safeguards for security and to protect individual privacy are the exception.

Data Use

Data are for people. Data should be used to increase understanding and help people manage risks and make the best choices from the available options.

Capacity Building

Poor countries suffer from low capacity and low investments in their national statistical systems. It is a global responsibility to highlight these problems and agree on collective actions.

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Having Data is Not Always Enough

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Data Brings Treatment to Malnourished Children

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Data Realigns Emergency Food Aid

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Public Data Lowers Violence in Cali

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Mobile Phone Data Optimizes Bus Routes

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Mapping Commuters Streamlines Transit