Introduction to Data for Management

Using data to strengthen the immunization supply chain

© UNICEF/UNI46742/Nesbitt

The Data for Management (D4M) approach promotes the establishment of a data-driven culture at all levels of the supply chain.

Availability of reliable supply chain data enables decision makers to make informed strategic and operational decisions, and to take corrective actions when needed, contributing to an improved performance of the supply chain. However, poor data quality and high workloads are common challenges that contribute to low data use in countries, particularly at the lower levels of the supply chain. Very often, health workers see data collection as a chore, without considering how the use of data can help them better manage their supply chain. Data for Management (D4M) promotes simplification of data collection - both in terms of standardizing the processes and tools - and awareness of the benefits of data-driven management at all levels. Using and acting on supply chain data will help health workers and managers improve the performance of the supply chain, ensuring that quality immunization products are available when and where needed.

The aim of the D4M approach is to make it easier for health workers and supply chain managers to collect, analyze, visualize and use data for decision-making.


How do we ensure that the appropriate tools are used for collecting data at each level of the supply chain? What Key Performance Indicators are relevant for monitoring immunization supply chain performance? How can performance dashboards help managers understand and use data? This section contains useful resources aimed at supporting countries strengthen their immunization supply chains through D4M activities. Here you can find detailed information about the DISC indicators, how to join ViVa, and examples of dashboards.

© UNICEF/UN012549/Adriko
© UNICEF/UN012549/Adriko

Case Studies

Case studies enable countries to learn from each other on the implementation of Data for Management interventions. These cases show the common challenges countries experience with making quality supply chain data available for action, as well as a range of solutions to address them. These solutions include strengthening paper-based LMIS, developing plans for transition to eLMIS, and using ViVa to monitor vaccine stocks.