https://foundry-data.io/case-studies/Recent content in Case Studies on Data Foundry. — Independent Data & AI ConsultantHugoen-gbSun, 01 Jun 2025 00:00:00 +0000https://foundry-data.io/case-studies/rebuilding-a-customer-facing-data-platform-for-10x-faster-reporting/Sun, 01 Jun 2025 00:00:00 +0000https://foundry-data.io/case-studies/rebuilding-a-customer-facing-data-platform-for-10x-faster-reporting/<h2 id="the-challenge">The Challenge</h2> <p>The company had plenty of data — but no way to get at it. Reporting was served from a daily cache rebuilt from production databases by the engineering team. If the cache failed, dashboards went dark. If someone needed a metric that wasn&rsquo;t pre-computed, they filed a ticket and waited.</p> <p>Customer Success couldn&rsquo;t build their own analytics. The executive leadership team couldn&rsquo;t see North Star metrics on demand. And the customer-facing analytics — used by over 100K users — were slow, brittle, and constantly at risk of going down.</p>https://foundry-data.io/case-studies/shaping-ai-strategy-for-a-climate-tech-startup/Sun, 01 Sep 2024 00:00:00 +0000https://foundry-data.io/case-studies/shaping-ai-strategy-for-a-climate-tech-startup/<h2 id="the-challenge">The Challenge</h2> <p>Aquascope had a compelling mission — using digital twin technologies to monitor and improve water quality — but needed senior AI leadership to turn that vision into a credible technical strategy. As an early-stage startup, they faced the classic challenge: how do you build an AI/ML capability that&rsquo;s ambitious enough to attract investors and talent, but practical enough to actually deliver?</p> <p>They needed help across the full spectrum: technical roadmap, team building, IP strategy, fundraising narratives, and embedding a data-first culture — all without the budget for a full-time Chief AI Officer.</p>