Sales KPIs are crucial for startups to measure and drive performance effectively. Key metrics such as customer acquisition cost, lifetime value, and conversion rates help startups to refine their sales strategies and optimize resources. Establishing clear KPIs can significantly enhance a startup's ability to achieve its sales goals and sustain growth.

The article outlines six key performance indicators (KPIs) that leaders should monitor throughout the data engineering lifecycle to improve efficiency and decision-making. These KPIs cover various aspects of data quality, productivity, and operational performance, providing a framework for evaluating the effectiveness of data engineering processes. By tracking these metrics, organizations can better align their data initiatives with business goals and enhance overall data strategy.