Designing decision systems and data strategy for organizations driving societal impact
Marcelo Tyszler
I help impact organizations design the data and evidence systems that drive better strategic decisions.
Bio
Who I Am
I help organizations working on global development and sustainability design the data and evidence systems needed for better decisions.
Across development programs, sustainability initiatives, and research projects, large amounts of data are collected every year. Yet surprisingly little of that data directly informs strategic choices about how resources should be allocated, which interventions should scale, or how programs should adapt.
The missing piece is often not more analysis — but better decision systems.
Through Impactful Data, I work with NGOs, research institutes, and mission-driven organizations to design the structures that connect data, evidence, and decision-making.
This includes:
• Designing monitoring and evaluation systems that actually inform decisions
• Structuring evidence frameworks for complex development programs
• Translating quantitative analysis into policy and strategy insights
• Building reliable and reproducible data systems for impact programs
My background combines economics, impact evaluation, and data science, with over 20 years of experience across Europe, Africa, and Latin America. I hold a PhD in Economics from the University of Amsterdam and have worked with organizations operating at the intersection of development, sustainability, and public policy.
I am particularly interested in helping organizations answer questions such as:
• What evidence is needed before scaling an intervention?
• Which data truly matters for decision-making?
• How should programs design learning systems that improve over time?
Some of my work
in cooperation with my colleagues
American Journal of Clinical Nutrition
Future-proof and sustainable healthy diets based on current eating patterns in the Netherlands
To keep global warming <1.5°C as recommended by the Intergovernmental Panel on Climate Change (IPCC), eating patterns must change.Within Dutch eating habits, satisfying optimization constraints required a shift away from beef, cheese, butter, and snacks toward plant-based foods and fish and shellfish, questioning acceptability. Satisfying 2050 food system GHGE targets will require research in consumer preferences and breakthrough innovations in food production and processing
Frontiers in Nutrition
To quantify the performance of food products in a sustainable diet based on the balance of their contribution to nutrient intake and environmental impact, within the context of the Dutch diet.
Lancet Global Health
The SWPER index for women's empowerment in Africa: development and validation of an index based on survey data
The Sustainable Development Goals strongly focus on equity. Goal 5 explicitly aims to empower all women and girls, reinforcing the need to have a reliable indicator to track progress. Our objective was to develop a novel women's empowerment indicator from widely available data sources, broadening opportunities for monitoring and research on women's empowerment.
White Paper
A Conceptual Model on Women and Girls' Empowerment
This is a citation of your published work. Make sure you list the precise publishing medium of your work, whether it be a book, an essay, an article, or a research manuscript. If your work appears only on certain pages, include those details and the date of publication to make it easier for your readers to identify and find your piece.
Experimental Economics
Information and strategic voting
We theoretically and experimentally study voter behavior in a setting characterized by plurality rule and mandatory voting. Voters choose from three options. We are interested in the occurrence of strategic voting in an environment where Condorcet cycles may occur and focus on how information about the preference distribution affects strategic behavior
Living Income
Guidance manual on calculating and visualizing the income gap to a Living Income Benchmark
A main objective of this guidance manual is to contribute to creating consistency of process and (visual) language in how income gaps are calculated and reported once income data is available. It intends to contribute to the discussion about standardized approaches
Q&A with Marcelo Tyszler
