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Our team

Expert statistical analysts serving sustainable development.

Who are we?

A team of analysts serving sustainable development

Data To Decide (DtoD) is a team of analysts, experts in statistics, serving sustainable development. From an in-depth review of your project, we build a unique response, optimised for the objectives of the study.

We offer innovative, tailor-made solutions to the complex challenges faced by development organisations and local authorities in monitoring and evaluation, impact evaluation and applied research. To do so, we apply an operational approach based on a scientific culture and carried out by our experts.

2023Year founded
6areas of intervention
4areas of expertise
Unit 01

The Scientific Team

Made up of seasoned specialists, our scientific team brings unique expertise in key areas:

Environment, climate change and resilience

Food security and agricultural development

Education and health

Humanitarian interventions and WASH

Thanks to their field experience and deep understanding of local realities, our sector experts guarantee suitable, realistic solutions to development challenges.

Unit 02

The Data Team

Our Data team brings together analysts specialised in:

Survey and sampling techniques

Data collection and management

Use of digital tools (KoboToolbox, SurveyCTO, ODK) to collect reliable data.

Statistical analysis and modelling

Mastery of advanced software (R, Python, Stata) to produce actionable insights.

Geographic information systems (GIS)

Integration of spatial data to map risks and opportunities.

Visualisation and communication of results

Creation of dashboards and infographics to make data accessible and understandable.

The Data team makes sure every project rests on rigorous analysis and effective tools to deliver evidence-based recommendations.

Our values

What guides our work

01

Scientific excellence

02

Continuous innovation

03

Positive social impact

04

Transparency and ethics

05

Collaboration and partnership

Join the team Share our values? Write to us.

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