Cleaning Up Your Estimating Data

Bad data costs businesses $12.9 trillion every year.

As an estimator, getting accurate data and mitigating risk is the majority of what you do. Using accurate data to make the best project decisions is key to winning jobs.

There are two types of data—historical and cost data. John and Jared talk about the importance of keeping you estimating data clean and offer advice on how and when to clean your data.

For a detailed plan on how to organize your data cleanup, read this blog post: ⁠4 Tips to Clean Up Your Estimating Data