Feeling stuck behind spreadsheets? Learn how to turn your data skills into a superpower by bridging the gap between raw numbers and real-world job sites.

The most profitable contractors are the ones who 'build it twice'—once in the data and once on the ground. If you can spot a clash in the data before a single person picks up a tool, you’ve just saved the company six figures.
I’m an estimator at Kiewit Building Group. I don’t have much industry knowledge I do know data A lot of my role has been compiling data but I just don’t know enough about the industry to be helpful


Data-minded professionals possess a "hidden growth engine" because they can provide scientific rigor to an industry facing a long-standing productivity gap. By moving from simply compiling data to analyzing it, they can identify trends in material pricing volatility, vendor performance, and labor productivity. Their ability to maintain a "single source of truth" through software like InEight ensures that estimates are based on apples-to-apples comparisons and historical benchmarks rather than outdated guesses held in an individual's head.
"Building it twice" refers to the process of completing a project digitally and financially before physical construction begins. By using Building Information Modeling (BIM) and data-driven estimates, estimators can spot "clashes"—such as a duct interfering with a structural beam—on a screen rather than on the job site. This proactive approach allows the team to resolve conflicts and identify risks like soil instability or utility obstacles early, potentially saving the company six-figure sums in rework and delays.
Construction preliminaries, or general conditions, cover essential non-permanent costs like job trailers, site fencing, and project management salaries, typically accounting for 8% to 15% of a budget. Using a "blanket percentage" is risky because these costs are often time-dependent rather than scale-dependent. A data-driven "bottom-up" approach—calculating specific weekly rates for equipment rentals and staff—is much more accurate, as it accounts for the actual duration of the project and prevents profit margins from being eroded by "running costs" if the schedule slips.
A site visit serves as a critical data validation mission that bridges the gap between "what should be there" and "what actually is there." While spreadsheets and old plans might miss unmarked utility lines or "jerry-rigged" historical repairs, a physical inspection allows an estimator to see real-world constraints like traffic patterns or limited access points. This "reality check" ensures that the digital estimate accounts for physical obstacles that a software algorithm or a standard cost guide would otherwise overlook.
Historical benchmarks are data points captured from a company’s own past projects, reflecting their specific crews' actual output and methods. While published cost guides provide a general starting point, they don't account for a specific company's unique efficiencies or regional labor nuances. By using consistent cost codes across all jobs, an estimator can build a library that accounts for the context of past performances—such as how weather or specific site constraints affected productivity—leading to much more "unshakeable" and realistic future bids.
From Columbia University alumni built in San Francisco
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From Columbia University alumni built in San Francisco
