This book includes a plain text version that is designed for high accessibility. To use this version please follow this link.
INSURANCE AND RISK MANAGEMENT


new processes or elimination of certain hazards altogether,” he said. John Capener, Vice President and


Chief Administrative Officer at Swinerton Builders, headquartered in San Francisco, said predictive analytics is a critical part of the company’s Enterprise Resource Plan- ning (ERP) system because the data allows people outside the project to better un- derstand a construction project’s perfor- mance and make adjustments. “The burden of safety goes beyond the


site manager,” he said. “This data allows for a more focused discussion around safe- ty and operations in the boardroom and on the construction site.”


Winning Solution Focused discussions around safety—


spurred by predictive analytics data— can even translate into winning business, Schultz said. “Project owners want to apply the same


advanced management rigor to their con- struction projects as they do in other areas of their business,” he said. “Predictive ana- lytics helps general contractors show how


they are proactively managing for safety and reducing the risk of costly injuries and incidents—expenses which can ultimately impact the owner’s budget and timeline.” And while general contractors are more


likely than subcontractors to invest in such technology, subcontractors are also em- bracing this data-driven safety movement by licensing their own predictive analytics software. It helps them manage their safe- ty records and provide that information to general contractors as part of their bid process, Lambert said. Capener affirmed predictive analytics


data is influencing Swinerton’s interac- tions with subcontractors onsite and could eventually influence its subcontractor se- lection process as well. “This data helps us ensure that we


have safe and high-quality subcontrac- tors working for us on site,” he said. “Over time, we expect to have even better data that will allow us to drive subcontractor performance and even help in subcontrac- tor selection.” With


the construction industry in California projected to grow substantially


well into 2017*, successfully managing an increased number of projects for a gen- eral contractor requires close attention to worker safety. Predictive analytics could help with that. Lambert said: “Predictive analytics in


the construction industry can ultimately serve everyone better—the owner, the in- vestors, the general contractor, the subcon- tractors, the insurance providers and most importantly, the workers themselves.” 


Scott Marvell is Middle Market Con-


struction Practice Leader, Zurich North America. * “California is Building Once Again,”


UCLA Newsroom, July 14, 2014 http://newsroom.ucla.edu/releases/cal-


ifornia-is-building-once-again-according- to-commercial-real-estate-survey


1 2


Bureau of Labor Statistics, Census of Fatal Occupational Injuries, http://www. bls.gov/news.release/cfoi.nr0.htm. Department of Industrial Relations,


Task Force Targets Construction Sites that Commit Wage Theft, Put Work- ers at Risk, http://www.dir.ca.gov/ DIRNews/2014/2014-76.pdf





Lagging Indicators


First aid injury


    


Leading Indicators


  


 


Underlying Causes for Unsafe Behavior and Unsafe Conditions


 www.AGC-CA.org Associated General Contractors of California 13 Fatality Lost Time Injury Medical Case Injury 1 200


2,000 60,000


60,000+


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24