Case Studies
Discover how Dremel Analytics has transformed businesses across industries with data-driven solutions that deliver measurable results.
Global Bank Fraud Detection System
Fraud isn't just expensive—it's brand‑eroding. By weaving a real‑time machine‑learning pipeline directly into its payment rails, a leading global bank transformed fraud defense from reactive to predictive. Transactions are now scored in under 150 ms, silently diverting bad actors while genuine customers sail through. The payoff: an 87 percent plunge in losses and more than $50 million saved every year. Beyond the headline numbers, the program slashed false positives by 42 percent and delivered unprecedented visibility for risk teams. Real‑time ML has moved from pilot to profit center.
Healthcare Network Optimization
Across a 30‑hospital network, unpredictable patient volumes once strained budgets and outcomes alike. An enterprise‑wide predictive‑analytics platform now ingests EHR, staffing and device telemetry in real time to forecast admissions and orchestrate resources hours in advance. Surgical schedules are automatically re‑optimized, discharge bottlenecks flagged, and care teams rebalanced before overload hits. In the first 12 months, operational costs fell 34 percent while patient‑satisfaction scores rocketed to 96 percent—a rare win‑win in modern healthcare.
Supply Chain DePIN Implementation
From raw materials to retail shelf, visibility gaps once cost this global manufacturer days of lead time and mountains of manual reconciliation. Enter a DePIN‑powered blockchain network that stamps every pallet with an immutable, shared ledger entry. Suppliers, carriers and distributors now read from the same real‑time source of truth—no emails, no 'where's my truck?' calls. Delivery times shrank by 45 percent, accuracy jumped to 99.2 percent, and inventory buffers could be safely trimmed, freeing working capital for innovation.
Government Smart City Analytics
Citizens expect the speed of a startup from their city hall. By unifying IoT sensor feeds, 311 tickets and mobility data under a scalable analytics stack, a major metropolitan government rewrote the service playbook. AI models now predict peak waste‑collection zones, optimize traffic‑light timing, and pre‑empt utility outages before they spark complaints. Department efficiency surged 52 percent, and resident‑satisfaction surveys climbed to 94 percent. Smart‑city analytics turned disparate data exhaust into a virtuous cycle of responsiveness and trust.
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