The e2open white paper explains how high data quality is essential to maximizing the return on investment from real‑time transportation visibility solutions. While real‑time tracking provides significant value, poor data quality can undermine results and decision‑making. The paper outlines key components of data quality, including completeness, latency, accuracy, and reliability, and examines common causes of low performance such as GPS inaccuracies, geocoding errors, and user behavior that affects tracking rates. By addressing these issues, organizations can improve visibility, enable reliable ETAs, reduce operational inefficiencies, and fully realize the business benefits of real‑time transportation visibility.

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