The platformization of the enterprise
How modular platforms, APIs and modernized applications can reduce structural complexity while accelerating digital products and AI adoption.
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Digital
Connect digital strategy, technology, products, operations and customer experience to enterprise priorities.
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Articles
Digital transformation after the transformation era
Why the next digital agenda is less about isolated programs and more about architecture, platforms, governance and measurable enterprise value.
Read articleFocus
Custom software is justified when standard products cannot support critical needs
The decision should reflect differentiated workflows, integration requirements and economics across the system lifecycle.
Zero trust replaces assumed access with continuous evidence of legitimate need
The model shifts control toward identity, device posture, context and explicit authorization across environments.
Strategic challenges
Which marketing decisions are stable enough to automate safely?
The challenge is separating repeatable rules from situations where context and judgment still materially affect the outcome.
Which capabilities deserve to become shared platform services?
The challenge is identifying repeated needs worth centralizing without turning the platform into an oversized dependency.
POV
A profitable-looking campaign can still be buying demand the business already owned
Paid search should account for incrementality and customer economics, not accept platform attribution at face value.
Protecting every dataset equally is expensive, impractical and strategically weak
Security should differentiate information by consequence; otherwise critical data competes with low-value assets for control.
Strategic impact
A risk-led strategy concentrates security effort on material business exposure
Connecting threats with business consequence helps leadership prioritize capabilities, investments and control maturity.
A clear data strategy improves how information supports enterprise decisions
Shared priorities, definitions and ownership reduce fragmentation and make critical information easier to use consistently.
What we observe
Attribution models often create precision that the underlying evidence cannot support
Detailed percentages can obscure tracking gaps, selection effects and interactions no single model can reliably disentangle.
Security teams often centralize accountability for risks they cannot directly control
A strong central function cannot compensate for unclear ownership across engineering, operations and business teams.