Construction Today - Volume 16, Issue 2 - 25
tiatives impacting incident exposure and frequency, and insurers
will benefit from real-time, real-world data into these measures. In
the long run, the only way to lower the total cost of risk (TCOR) is
to lower the frequency and severity of claims that drive insurance
premiums - and the indirect costs that accompany an incident. By
working together, contractors, risk managers and insurers can harness data to identify and correct risky behaviors before an accident
occurs, improve safety protocols, combat potentially fraudulent
claims and ultimately lower premiums.
Insurers Join the Data Bandwagon
Everyone involved in the industry will benefit from the explosion of
data, and it will particularly be valuable for the insurance industry,
which will use it to assess - and reduce - operational and safety
risks, as well as associated costs. As technology connects the jobsite,
insurers will gain increased visibility into worker activity, asset
utilization, overall compliance and incident rates by trade, sub or
Each contractor has its own risk management culture and ini-
Looking back, 2017 was the year that the renewed focus on infrastructure, increased construction activity and skilled labor shortage
forced contractors to take stock, identify weaknesses and figure out
how best to optimize resources to meet demand.
In the last year, the conversation shifted from "We need tech" to
"What are the best solutions and how can they be leveraged?" And as
project leaders and participants better understand and leverage IoT
at the jobsite, cloud computing, big data and predictive analytics will
more firmly take hold in 2018, creating a year of digital disruption.
VOLUME 16, ISSUE 2 CONSTRUCTION-TODAY.COM
ing it, this ratio will shift in 2018 as IoT-enabled solutions, such as
wearables and sensors, automatically collect valuable jobsite data.
With this plethora of new data, the ease and capabilities of custom
dashboards and reports will take center stage.
Emerging tools such as artificial intelligence (AI), machine learning and predictive analytics also are receiving a lot of attention - and
for good reason. They provide the opportunity to increase productivity and profitability at the jobsite, and data mining and predictive
analytics will hold the key to driving the industry towards a more