Perspective
The State of Operational Intelligence
Most organizations have completed the work of instrumenting their operations and barely begun the work of understanding them. This piece maps the current landscape: where the data lives, why so little of it reaches decisions, and what separates the organizations that know from the organizations that merely record. The short version: the gap isn't a tooling problem, it's an architecture problem, and it is widening.
Full article in progress.
Argument
Why Most Business Intelligence Is Actually Business Ignorance
A dashboard that describes last month is a history lesson, not intelligence. This argument takes aim at rear-view-mirror BI: the report cycles that arrive after the decision window has closed, the metrics that describe symptoms instead of causes, and the comfortable illusion of visibility that follows. Real intelligence has a timestamp close to now and an explanation attached.
Full article in progress.
Framework
From Data to Decisions
Between a raw operational event and a confident decision sit five stages: capture, normalization, context, interpretation, and delivery. Most pipelines stall at stage two and call it done. This framework walks each stage, the failure mode that lives there, and what it takes to carry a signal all the way to the person who can act on it.
Full article in progress.