Why is Data-Driven Decision Making Essential in 2025?
In the past, cost engineering relied heavily on historical data, expert knowledge, and estimates. However, the importance of data-driven cost engineering continues to grow as we move through 2024.
"By 2026, 65% of B2B sales organizations will transition from intuition-based to data-driven decision making, using technology that unites workflow, data and analytics" - Gartner Analytics, 2022.
With the help of advanced product costing software, integrating large amounts of current data and including external data sources has become much easier, leading to more precise calculations. According to a recent Forbes article, advanced analytics tools and increasing digitization of project data enable cost engineers to move beyond traditional estimation methods. This shift allows for more dynamic models that can adapt to changing project conditions.
The foundation for this data-driven cost engineering approach is a knowledge database and industry benchmark data. This information is continuously collected, processed, and analyzed using standard procedures and methods, allowing managers to respond quickly to changes.