Why your data catalogue is not a knowledge graph (and why it matters)
Why your data catalogue is not a knowledge graph (and why it matters)
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.
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.
Shorter pieces, sharper takes. Lessons from active engagements, conference floors, and conversations with the architects shaping the next decade.
Why your data catalogue is not a knowledge graph (and why it matters)
The architectural argument for moving from descriptive analytics to causal reasoning — without throwing your data warehouse away. 6 min read
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