Data Architecture Consultancy
Your data should speak
your language.
Most organizations have more data than insight. We design semantic architectures, AI strategies, and data products that translate raw data into decisions, in the language your business actually uses.
The gap between your data and your decisions is a language problem.
Your systems generate data in their language. Your teams make decisions in theirs. The semantic layer between them (how data gets translated, modeled, and made accessible) is where most data investments succeed or fail.
What We Do
Strategy, architecture, and products
that make data useful.
Data Strategy
Navigate the modern data and AI landscape with a clear-eyed strategy grounded in your business reality. Platform selection, team design, governance, and AI readiness, call by call, with a money-back guarantee.
Learn more →Semantic Architecture
Translate your raw data into the language of your business. Our semantic starter kits accelerate what usually takes a year into weeks, with models designed for reporting, analytics, and LLM-powered natural language queries.
Learn more →AI & LLM Solutions
From identifying LLM opportunities to production infrastructure, we help you build AI capabilities on a foundation of well-architected data. Strategy, pipelines, bias reduction, and deployment.
Learn more →Data Products
Accelerate time-to-value with semantic starter kits, reference datasets, and LLM-extracted data. Pre-built models that cover your first year of data projects, ready to customize.
Learn more →Data Monetization
Your data may have value in surprising ways. We evaluate monetization opportunities, work with data brokers, identify marketplaces, and package data products for sale.
Learn more →Open Source Products
DIAL is a framework for AI-human decision coordination. Eloquent is a natural language data modeling language. Enterprise implementation, training, and consulting available.
View products →Why Eloquent Analytics
Fortune 500 experience.
Boutique attention.
Before founding Eloquent Analytics, Philip O'Donnell served as Group SVP of Global Data Platforms at The Adecco Group, leading the data organization for a company with 60,000+ employees and $24B+ in revenue.
That experience, spanning staffing, telecommunications, retail, and career services, now powers a consultancy built for organizations that want senior-level thinking without the overhead of a large firm.
- 13+ years in data analytics leadership
- Enterprise to startup breadth
- Call-by-call engagement with money-back guarantee
- Practitioner, not theorist. Hands-on strategy meets hands-on engineering
How We Work
Start with a conversation. Scale to fit.
Conversation
We start with a focused discussion about your data challenges, goals, and current state. No pitch decks. No generic proposals.
Assessment
We evaluate your situation and recommend an approach: strategy calls, architecture work, starter kits, or a combination. We tell you what we see, even if it means pointing you elsewhere.
Engagement
We work call by call with a money-back guarantee. No long contracts. No junior consultants. Scale the engagement up or down based on what's actually working.
Who We Help
Data leaders who need clarity, not more complexity.
Enterprises
Navigating data platform modernization, semantic layer design, or AI adoption with stakeholders across the organization.
Data Teams
Seeking architecture patterns, starter kits, and strategies that accelerate delivery without accumulating technical debt.
Business Leaders
Who need their data investment to produce measurable decisions, not just dashboards that nobody trusts.
Consultants
Looking for deep technical expertise on data architecture, semantic modeling, or AI strategy to augment their engagements.
Insights
From our thinking.
Data Modeling Should Be Readable
What if your data dictionary read like plain English and generated everything automatically?
AI StrategyProgressive Collapse, A Framework for AI Trust
How to measure when AI is ready to take over a decision.
Semantic ArchitectureWhy Every Company Speaks Its Own Language
The vocabulary gap between your business and your data systems.
Expertise
Deep in data. Fluent in business.
Ready to make your data speak?
Start with a conversation. No pitch decks. No sales pressure. Just a practical discussion about your data challenges and what might help.