AD3: Administrative Data-Driven Decisions

The Hewlett Foundation | Senegal, Côte d'Ivoire, Tanzania, and Sierra Leone

We launched the AD3 program in September 2018, working with government to co-create new strategies for maximizing the use of administrative data – information on the activities and performance of government policies – that respond to key policy or operational challenges. 

 

Why administrative data?

Administrative systems manage data generated from delivering services – education, healthcare, social transfers – to citizens. Governments and the international community increasingly recognize that data from these systems are useful for more "real time" policymaking, by enabling more “real time”  monitoring and program adjustment to achieve development goals. Through the AD3 program, we seek to understand and address barriers that prevent administrative data use. 

To tackle these barriers to effective data use, AD3  brings new approaches for administrative data use across governments.

 

Why now?

To achieve the SDGs and “leave no one behind,” building a foundation of administrative data use will be essential. As we move towards 2030 and country governments continue towards their goals, they’ll require strong foundations and rich administrative datasets to meet reporting requirements and measure progress. AD3 builds understanding of specific priorities in each country, and collaborate with government working groups to co-develop solutions to user needs – developing visualizations for decision-making processes, strengthening system interoperability, and supporting data sharing across governments. 

Also, we look forward to bringing lessons learned from AD3 and capture broader programmatic impact, bringing insights to global conversations around how to increase the usefulness and use of data to achieve better outcomes.

Currently in Senegal,

AD3 is prioritizing interventions in support of agricultural development, and is partnering with both government and the Initiative Prospective Agricole et Rurale (IPAR) to put these solutions into practice. This will include engaging interested government departments through a Problem-Driven Iterative Adaptation (PDIA) approach to co-designing solutions that support the implementation and monitoring of national agricultural development objectives.

With timely, reliable, and granular data, we’re building healthy administrative systems – and ultimately, more effective outcomes.

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