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Analytical and operational support for universities and research organisations — people who understand that the output isn't just a chart, it's analysis that must hold up to scrutiny.
Academic institutions and research organisations work with some of the most complex data environments: multi-year longitudinal studies, cross-institutional collaborations, grant-funded projects with strict reporting requirements, and outputs that face peer review. The standards are high and the timelines are unforgiving.
Both members of our team graduated from the University of Notre Dame — one from the MS Business Analytics programme, one who studied and conducted research at Notre Dame's interdisciplinary research centres. That background shapes how we approach academic and research-adjacent work: with methodological care, attention to data quality, and an understanding of what institutional stakeholders actually need.
We have supported research at Notre Dame, the McKenna Center for Human Development, and NSF-funded projects — in roles ranging from primary data analysis to research assistance and programme support.
Research-quality analytics and programme support for institutions where rigour is not optional.
Both team members are Notre Dame alumni. We have supported research assistance and analytics work across Notre Dame's academic programmes — contributing to socioeconomic and development-focused research projects with data collection, analysis, and documentation support.
The McKenna Center advances community development and social impact at Notre Dame. We provided research analytics support — including data collection, community needs analysis, and documentation — for McKenna Center-affiliated programmes and research initiatives.
We provided data analytics and research support for National Science Foundation-backed academic research projects — contributing to quantitative analysis, data management, and research documentation for grant-funded studies.
Whether you need analytical capacity, programme support, or institutional reporting — let's talk.
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