Data observability is becoming increasingly important as data usage grows across companies regardless of size or industry. Prioritizing data quality and implementing better observability can help maintain trust in data, prevent data loss, utilize historical data effectively, improve decision-making speed, and prioritize tasks more efficiently. Companies should not wait to address these issues but rather adopt data observability platforms or build their own tools proactively.