Practical notes on data, Adobe and applied AI
Architecture decisions, implementation lessons and operating guidance grounded in the work enterprise teams actually have to deliver.
Latest insights
Recent perspectives on enterprise content, reliable data, measurement and applied AI.
Data & Analytics
Every marketing platform claims the conversion
Google, Meta, LinkedIn and analytics tools can all claim the same sale. Governed attribution separates optimisation signals, business outcomes and causal evidence.
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The ‘single source of truth’ is the wrong promise
Enterprises rarely need every answer in one system. They need governed sources of record, explicit metric definitions and traceable reconciliation across legitimate contexts.
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Why your backend, analytics platform and dashboards disagree
Different systems can report different numbers without any of them being broken. The real work is defining what each number means and governing the relationship between them.
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Why data catalogues fail to gain adoption
A data catalogue becomes shelfware when it asks people to maintain metadata without helping them make a decision, find trusted data or complete work faster.
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Why web analytics implementations quietly become unreliable
Analytics rarely breaks in one dramatic event. It decays through undocumented changes, duplicated tags, consent behaviour, shifting definitions and ownership that ends at launch.
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Why enterprise data governance programmes fail after the champion leaves
A governance programme built around one persuasive leader is a campaign, not an operating model. Sustainable governance survives role changes because authority, capacity and evidence are embedded in normal work.
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