A selection of engagements from the past few years — from data strategy to engineering and analytics.
Following an internal audit, a mid-sized municipality had no clear picture of what data lived where and who could access it. In eight weeks we mapped the full data landscape, designed a governance framework and trained the staff involved.
Outcomes
A national retail chain relied on nightly batch exports from five source systems. Purchasing decisions always arrived a day late. Our engineers built a streaming data pipeline with automatic anomaly detection and a unified BI layer.
Outcomes
A university of applied sciences wanted to identify at-risk students earlier, without profiling individuals on sensitive attributes. We designed a privacy-first ML model that flags students as early as week four of the academic year.
Outcomes
A fast-growing SaaS scale-up collected data in eight separate tools with no central vision. Ahead of their next funding round, they needed a clear data strategy that could convince both investors and their own team.
Outcomes
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