The Difference Between Accuracy & Precision

Conversationally, the terms “accuracy” and “precision” are often used interchangeably. Scientifically speaking, however, the terms refer to markedly different conceptual measures. “Accuracy” refers to the proximity of an estimate to the actual value, while “precision” refers to the closeness of individual estimates to each other. For example, throwing darts close to the bullseye would be accurate, while throwing darts very close to each other would be precise even if they’re nowhere near the bullseye!

Companies often make the mistake of utilizing methods that seem powerful by virtue of their precision. At first, declaring that third-quarter sales will hit precisely $496.83M sounds more impressive and compelling than an estimated range of $462M to $465M –that is, until actual sales come in at $463M.

In this case, the precise estimate was precise…ly incorrect! At Spinnaker, we always value accuracy in predictive analytics solutions.

Spinnaker perfectly blends the science of data-driven insights and powerful AI algorithms with their clients’ art of decision-making and sales prowess. Its data scientists have extensive insurance experience, and Spinnaker has built up a proven toolkit of methods honed over long-term successful deployments. But they don’t just deploy solutions, they bring clients along on the growth path through their consultative support and insights.

Lear more visit spinnakeranalytics.com