How can we build a Monitoring and Evaluation system that enables high quality data collection? In this webinar, we will discuss common challenges around processes, tools, and capacity building and how to overcome them. Using a Case Study as an example, we will examine how we can build quality from the ground up, considering the M&E plan, the data model and the processes around our work. Finally, we will examine the role of learning and adaptive management, and timely reporting in spurring action based on our data.

In summary, we cover:

Introduction:

• The evolving role of data in Monitoring and Evaluation
• Common challenges and how to overcome them: Procedures, ICT4D tools, capacity building

Building quality from the ground up:

• M&E plan and data model
• Data modelling process
• Review process, data quality assurance, and capacity building approach

Bridging the gap between data and action:

• Incorporating learning and adaptive management into the M&E system
• Timely reporting

Is this Webinar for me?

• Are you responsible for or interested in building M&E systems for your organization?
• Do you wish to understand and increase your confidence in data utilization within your M&E system?

Then, join our Webinar!

About the Presenter

Eliza Avgeropoulou earned her BSc from Athens University of Economics and Business, and her MSc degree in Economic Development and Growth from Lund University and Carlos III University, Madrid. She brings eight years of experience in M&E in international NGOs, including CARE, Innovations for Poverty Action and Catholic Relief Services (CRS). The past five years, she has led the MEAL system design for various multi-stakeholders' projects focusing on education, livelihoods, protection and cash. She believes that evidence-based decision making is the core of high quality program implementation. She now joins us as our Senior M&E Implementation Specialist, bringing together her experience on the ground and passion for data-driven decision making to help our customers achieve success with ActivityInfo.