Featured insight · Data Science
Customer segmentation is useful only when it changes a decision.
Clustering customers is easy to visualize. The hard part is turning clusters into marketing, retention and product decisions.
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Ideas, methods and signals worth examining.
Research and practical thinking across data science, marketing intelligence, analytics and AI.
Why more dashboards do not necessarily create better decisions.
A smaller set of decision-specific views often outperforms dozens of disconnected dashboards.
Why attribution models fail at scale.
Multi-touch attribution looks precise until traffic volume and channel mix change underneath it.
AI & Automation
Grounding AI assistants in operational context, not just documents.
A useful business assistant needs live metrics and workflows in context—not only static knowledge.
Analytics
The early signals of churn most teams ignore.
Engagement decay often appears weeks before churn becomes visible in revenue reporting.
Research & Methods
Communicating forecast uncertainty without losing the room.
A forecast without an interval is a guess dressed as a fact. Ranges can clarify rather than weaken a decision.