We don't just deliver analytics — we solve the specific data, compliance, and intelligence challenges that define each industry, backed by 20+ years of enterprise AI consulting.
Our Expertise
We know your industry's data challenges — and exactly how to solve them. From campaign analytics to clinical AI, every engagement is grounded in deep vertical expertise and proven delivery.
Insurers navigating rising fraud, mounting compliance obligations, and legacy systems that resist modernisation. We unify policyholder, claims, and actuarial data into a governed intelligence layer — smarter underwriting, faster claims triage, AI fraud detection, and automated NAIC/IFRS 17 reporting.
Lenders and servicers dealing with fragmented LOS data, volatile rate environments, and labour-intensive compliance obligations. We deliver unified pipeline analytics, enhanced borrower risk scoring, automated HMDA and CFPB reporting, and AI-powered servicing intelligence.
BPO providers under pressure from tighter SLAs, cost reduction mandates, and clients demanding real-time visibility. We turn your operational data into a unified intelligence layer — real-time SLA tracking, workforce analytics, automated client reporting, and process mining.
Common Questions
Decision Foundry's industries practice combines deep domain expertise with platform credentials — building data, analytics, and AI solutions tailored to each industry's data shape, regulatory environment, and competitive dynamics. We're active across media & agency, healthcare, retail, financial services, automotive, and education.
Generic data platforms can be configured for any industry — but the data models, taxonomies, regulatory requirements, and KPIs are radically different across sectors. Industry-specific accelerators (pre-built data models, attribution frameworks, compliance templates) cut implementation timelines significantly vs starting from scratch. They also surface the right questions earlier — what regulators actually require, what KPIs matter, what data sources are typically poor quality.
Three ways. (1) Pre-built industry data models — accelerators for media MMM, healthcare patient journey, retail product hierarchy, financial services Client 360, automotive dealer 360, education student-journey. (2) Industry-specific attribution and measurement frameworks. (3) Regulatory templates (HIPAA, PCI-DSS, GLBA, FERPA, GDPR by jurisdiction).
Yes. Our industry pages reflect where we have the deepest concentrations of clients, but we've also delivered for manufacturing, hospitality, energy, professional services, and public sector. Our core data platform expertise (Salesforce, MCI, Tableau, Snowflake, Databricks) transfers across sectors — we just borrow heavily from the closest matching industry pattern in the discovery phase.
A focused industry-specific engagement (one workload — e.g., dealer performance dashboard, patient journey analytics) typically runs 2–4 months. Enterprise rollouts (cross-business-unit, multi-platform) run 6–12 months. We typically open with a 2–4 week industry-aware discovery to map your data shape to known industry patterns.
Combined depth — platform credentials (Salesforce SELECT, Tableau Premier, Snowflake Select, Databricks Premier, Microsoft Solutions Partner for Data & AI) AND industry-specific delivery history with global brands in each sector. Most consultancies have one or the other; we have both.