Construction Analytics

As construction technology improves exponentially—in the hands of your team members as well as through sensors on every piece of machinery—the amount of data available to the modern construction leader is overwhelming.

 
 

We help you convert big data into meaningful information and insights to drive better decision-making.

How? We collaborate with clients to collect, organize, and visualize data in a new way to better explain, predict, and ultimately change the behaviors of people on your team and on your job site.

BIG DATA Problems OUR CLIENTS experiencE

Owners and senior leaders reach out to us when they wish to:

  • better analyze and manage construction project costs

  • evaluate the relative performance of different managers with ROI rankings

  • reduce risk through improved understanding of safety lead measure data

  • visualize the impact of change order size and frequency on different projects

  • want to develop custom predictive models to forecast better

  • implement better compensation models that drive growth

  • develop cost-to-serve models to understand customer profitability

What we offer

We offer four levels of construction performance analytics that can be customized to your objectives:

LEVEL I

Team Member Focus
Level I is all about the individual team member, their contribution to overall profitability, and determining their individual Return On Investment (ROI) to your organization.

    • Goals

    • Kolbe default-to-work scores

    • Activities vs. Output

    • Impact on past projects

    • All-In Compensation

    • Commissions + FICA + Med + Life + LT Dis + 401(k) + Auto + Phone + Fuel + Training + Takeoffs

    • Teammate perception quantification

LEVEL II

Project Team Focus
Level II expands from the team member to their projects as we build custom metrics to evaluate team performance and constantly monitor project collaborations with suppliers, subs, and owners that impact performance and your reputation.

    • Employee retention

    • Project team engagement

    • Monitor team budgets

    • Supplier perception micro-surveys

    • Subcontractor perception micro-surveys

    • Owner perception micro-surveys

LEVEL III

Market Focus
Level III zooms out out to evaluate your organization's positioning—and your opportunities—in your market for the projects you are uniquely positioned to build on-time and under budget.

    • U.S. Census

    • Bureau of Labor Statistics

    • FRED Economic data

    • John Burns Real Estate Data

    • Case-Shiller Home Price Index

    • Dodge Reports

    • Consumer Sentiment Index

    • Construction per Zip Code

    • Local Permit Data

LEVEL IV

Team Communication Focus
Level IV zooms in to the micro view of your team—collecting and organizing internal team data to generate insights on overall effectiveness to drive behavior change.

    • Sales rep call frequency + duration

    • Text messaging

    • Email scraping

    • Cell phone mobility data

    • Website analytics

Our unique approach

We start every analytics engagement understanding the questions that need to be answered, why those questions are important, and the desired outcomes our clients are looking for. From there, we make it easy to collect, organize, and analyze your data in order to convert construction data complexity into clarity that drives better decision-making with comprehensive reporting, custom dashboards, and custom apps built to your unique specifications.

 

Let’s collaborate.

If interested in collaborating, contact our team here and share your specific goals, outcomes, challenges, and any questions that you have top of mind. That will help us determine if we're a fit for a potential sales performance analytics engagement.

 

Terms to Know

Artificial Intelligence (AI)
Software systems that make decisions which typically require human expertise and understanding.

Interpretive analytics
Analysis that interprets, informs, or explains the data.

Predictive analytics
Analysis that predicts future results with a defined confidence interval.

Analytics
Systematic computational analysis of data and statistics used to discover, interpret, and communicate meaningful
patterns to drive better decision-making.

Machine Learning
Application of AI that enables systems to automatically learn and improve from experience without being explicitly programmed; e.g., programs that access data and use it to learn for themselves.

Market Inefficiency
Market participants make decisions based on incomplete information or faulty assumptions which results in systematically paying more—or less—for performance than it is worth.