{ databrew }
about us
Databrew is about more than just data analysis. Our mission is to make a tangible, positive impact in the world - through data. We do this by empowering organizations and individuals to explore, understand, and effectively utilize the wealth of information in today's data-driven landscape.
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We don't just provide answers like traditional consultants. We equip our clients with an analytical mindset necessary for asking insightful questions. Our focus is on sharing strategies and tools that enable the independent discovery of solutions, fostering long-term success and adaptability in an ever-evolving data world.
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Our teaching philosophy is centered on more than just imparting knowledge. We foster deep understanding by encouraging students to think critically and learn autonomously. This method nurtures an understanding of data and its applications and equips learners with the skills to innovate and excel in their fields.
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Our end-to-end research services are designed to empower. Whether you're starting from scratch or seeking assistance with ongoing projects, we're here to support you at every step. Our mission is to help you navigate the complexities of real-world research projects, offering a seamless experience from conceptualization to implementation so that you can focus on what truly matters: making meaningful contributions to your field.
how we help you
an exciting collaboration
We put a lot of effort into getting to know our clients and their specific needs, since the more we understand your goals, the better we can support your work and turn your data into valuable insights.
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But it’s not just about the work. The energy, approachability, and thoughtfulness of our team also makes the collaboration an effortless joy for you.
our work
BOHEMIA Project
We are managing the data pipeline for a multi-year clinical trial in Africa to investigate the effectiveness of the drug ivermectin in combating malaria. Our responsibilities include operational strategy planning, digitizing survey forms, securely storing and managing data on tens of thousands of participants, and analyzing the epidemiological impact of this study.
World Bank HEFPI Dashboard
We developed an interactive web application for the visual exploration of the World Bank’s Health Equity and Financial Protection Indicators that show global trends in health and finance. You can see the live application on the Wold Bank website.
Data Viz for Santa Fe Institute Press
Databrew analyzed data and created all the visualizations for Law as Data, a book published by the Santa Fe Institute which explores the new field of computational legal analysis — the study of the law that uses legal texts as data.
UNICEF Geospatial Data Analysis
We created a dashboard with maps to help UNICEF understand the need for and access to health services in the provinces of Cabo Delgado and Nampula in Mozambique. Specifically, our analysis highlighted services and social workers available to pregnant women with various risk factors at the district and provincial level.
WHO WPRO Data Analysis & Report
Databrew supported the WHO Regional Office for the Western Pacific (WPRO) team in analyzing data and writing a report on health outcomes, health behaviours, and health disparities related to non-communicable diseases and to identify various indicators and health disparities in the Philippines.
Training Researchers in Mozambique
We carried out a 12-week training course for medical researchers at the Centro de Investigação em Saude de Manhiça. We taught data management, visualization, and analysis using R so that our students - largely doctors - were equipped to glean insight from their data without having to waste funds on software and licensing fees.
data science for social good
As part of our commitment to making our corner of the world just a little better, we offer reduced rates for budget-constrained organizations which are involved in delivering a “social good”. If you are a public sector institution, NGO, academic institution, or public benefit corporation exploring the potential of data science or machine learning to help achieve your mission of making a positive impact in the world, we would love to hear from you!