Most enterprises treat data architecture as plumbing. I treat it as the connective tissue between strategy and execution — modelled in knowledge graphs, validated by causal graphs, made adaptive through context graphs.
Business architecture answers what. Data architecture answers how. Between them sits a widening gap that traditional modelling can't close — because the world is no longer a hierarchy of tables. It's a network of meanings, causes, and contexts.
For thirty years we modelled the enterprise in boxes and lines. The next thirty will be modelled in graphs — semantic, causal, contextual.
Shorter pieces, sharper takes. Lessons from active engagements, conference floors, and conversations with the architects shaping the next decade.
A White Paper for Enterprise Architects and Business Leaders Executive Summary The enterprise is entering a new era of decision-making—one where AI agents and…
Executive Summary As organizations scramble to prepare their data estates for generative AI, large language models (LLMs), and autonomous business agents, a dangerous architectural…
The architectural argument for moving from descriptive analytics to causal reasoning — without throwing your data warehouse away. 6 min read
7 min read Why Enterprise Architecture Must Shift from Managing Systems to Managing Meaning Executive Summary For nearly three decades, technical debt has been the dominant…
A short translation guide between architecture vocabulary and finance vocabulary — for any architect who has lost a funding round to "we don't see…
Standard retrieval-augmented generation indexes documents by topic. For enterprise architecture work, the relevant retrieval object is not the document but the decision trace: a…
Research-grade whitepapers and published books on bridging business and data architecture in the age of knowledge, causal, and context graphs.
Field-tested frameworks, reference architectures, and maturity models — written for architects and the executives who fund them.
Hardcover and digital editions for practitioners building the next generation of enterprise architectures.
A practitioner's guide to translating business architecture into data architectures that actually deliver on strategy.