Many leaders delay Customer AI initiatives because they believe they don’t have enough data. The refrain is familiar: “We’ll start once our systems are integrated” or “We need higher survey respons...

Executives often ask: how many survey responses do we need before Customer AI works? The instinct is to think in percentages—“we need a 40% response rate”—as if more responses automatically equal b...

When companies struggle with Customer AI, they often blame messy operational data or siloed systems. In practice, the biggest failure point isn’t missing telemetry—it’s bad survey design. As explai...

Executives often describe data as if it’s clean, structured, and ready for analytics. Reality tells a different story. Studies show that 77% of organizations admit significant data quality problems...

In 2011, MIT researcher Erik Brynjolfsson and colleagues set out to answer a simple but critical question: does being data-driven actually pay off? Their survey of 179 large, publicly traded firms ...

Factories, equipment, and cash reserves have long been considered the core assets of business. But in the last decade, another asset has quietly overtaken them: data.

A 2011 MIT study showed that ...