Definition
Big data refers to datasets characterised by high volume, velocity, and variety — the "three Vs" coined by analyst Doug Laney in 2001 — that exceed the processing capacity of conventional database tools and require new architectures (distributed computing, machine learning pipelines) to extract usable signal.
In Focus, Goleman invokes big data not as a technical topic but as a test of organisational attention. The question he poses is whether leaders can distinguish the signal that matters from the tsunami of data that surrounds it — a fundamentally attentional and analytical challenge, not merely a storage one.
Why it matters
How it works
The practical infrastructure of big data involves distributed storage (HDFS, cloud object stores), parallel processing (MapReduce, Spark), and statistical modelling pipelines that turn raw logs into ranked predictions. But the harder problem is almost always framing: deciding which questions to ask, and which proxies are valid measurements of what you actually care about.
Goodhart's Law is a persistent hazard: "When a measure becomes a target, it ceases to be a good measure." Organisations that manage to click-through rates, for instance, will optimise for the metric while potentially degrading the underlying goal — genuine user engagement or product quality.
From the Focus perspective, big data represents a massive expansion of the outer-focus domain: the capacity to read broad systemic patterns. Goleman cites examples of retailers (Target's pregnancy-prediction model) and insurers who extracted intimate behavioural patterns from purchase history. The same analytical power that surfaces emerging disease outbreaks in search-query streams can be turned toward surveillance or manipulative personalisation.
The human side of big data — what Goleman emphasises — is that even the most sophisticated model outputs require an analyst with inner focus (calibrated intuition) and social sensitivity (contextual judgment) to interpret correctly. No algorithm eliminates the attentional demands on the human in the loop.