Holman’s “Identifying and Correcting Poor Driver Behavior” report outlines how data-driven fleet safety programs reduce accidents, liability, and costs by shifting from reactive to proactive risk management. Poor driving habits—speeding, distraction, or noncompliance—raise crash rates, insurance costs, and brand risk, with accidents costing employers up to $500,000 per fatal incident and billions annually. Traditional fleet policies and annual MVR checks are no longer sufficient; modern safety programs now integrate real-time telematics, driver scoring, and continuous monitoring to detect risky behaviors early. Holman advocates combining analytics, online training, and consistent feedback to pinpoint at-risk drivers, assign targeted remediation, and reward safe performers. This proactive model—leveraging scorecards, predictive data, and virtual learning—creates measurable reductions in collisions and expenses. By embedding safety culture and technology together, organizations can protect drivers, strengthen reputation, and improve the fleet’s bottom line.

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