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HOW DO WE DETERMINE THAT THE TOOLS, points to compare against, especially when integrating new

processes or comparing performance across several projects.
SYSTEMS, AND PROCESSES (TSP) WE PUT In construction, even with the same project, the data is

IN PLACE ARE PRACTICAL? rarely static and directly comparable, so standardizing the
collected data points enables a way to compare a project’s

The answer to this question comes in a variety of ways. First outcome against its goals and with other projects.”
and foremost, we learn from feedback from our employees, our
customers, and our results. We operate in an environment of According to Fred Meeske, Senior Vice President,

constant change. The demands of our customers and the fluidity Rosendin collects a lot of standardized data for both active

of the markets we serve require us to focus on continuous projects and as metrics for measuring the performance
improvement in all aspects of our business. For these reasons, of processes. These metrics allow us to understand the
our TSPs are never a finished product but only the most current performance of projects related to their stated goals.

iteration. The next evolution will need to be more efficient and “There are countless examples of the use of data throughout
of a higher quality than the last, and if something isn’t working, Rosendin. Within the BIM department, it has enabled the
we can’t be afraid to scrap it and create something better. implementation and use of new conduit routing software,

Over the last two years, Rosendin's Operational Excellence Team hanger placement processes, and interdepartmental
has presented dozens of ideas for TSPs. Six of these have been reviews and discussions,” says Meeske. “One of the main

evaluated, approved, completed, and implemented. These new differentiators that Rosendin pioneered is connecting

TSPs are constantly being reviewed to assess their effectiveness multiple data sources into a single funnel, which allowed us

and practicality. to have insights that span multiple departments and business
units, which would have previously been impossible.”
It is understood that no two projects are alike, so what may be an

effective TSP on one project may not work for another. Personnel Meeske continues, describing how we gather, interpret, and

changes, project circumstances, and team experience can all apply the data. “First, Rosendin collects standardized metrics
impact how a new TSP applies across the company. Rosendin is about its internal processes, especially when considering

gathering the data surrounding these new TSPs to help refine changing or updating them with new tools and software. It
and perfect them. is easy to fall for ‘the magic trick‘ or the cool factor behind
introducing new solutions. Standardized metrics allow for more

HOW ARE WE USING THE DATA THAT THE direct, analytical, and objective analysis and feedback, allowing
us to improve and quantify the improvement continuously.

TECHNOLOGY AND ANALYTICS AND FINANCE “Secondly, for teams starting to build data standards and

TEAMS ARE GATHERING TO MAKE BETTER processes, it is essential to keep two things in mind: First,
create an interdisciplinary team focusing on easily achievable
DECISIONS AS A GROUP? goals. This will enable you to learn while still providing

As we continue to see rapid growth across the company, a immediate value. More intricate questions with more effort
and time requirements can have a more significant impact,

solid data strategy is more critical than ever. The Technology but nothing beats the immediate impact when starting. The

and Analytics team collects massive amounts of data from team can start tackling more challenging questions once

all business areas. When using it properly, we can identify momentum is built and the questions are well-defined.

trends and gain insights into our operations and customers.
In turn, we can identify inefficiencies and correct them to

help reduce costs and highlight areas of opportunity that “Second, and more importantly,
can drive top-line revenues and improved profitability.

Collecting the right data, organizing it well, and displaying build the metrics to be flexible.”

it in real-time allows us to make better decisions faster.

As Jad Chalhoub, Director of Business Analytics, notes, “It There is a misconception that data is very stringent and static,

is important to remember that standardization in general, but in reality, data is very fluid, especially from where it can be

especially data standardization, is a tool, not a goal. Data collected and generated.

standardization is important in allowing comparisons
when repeated measurements with single variate changes It is essential to connect as many distinct data pieces as possible

are impossible, which can uniquely benefit construction. to enable more interconnectedness and deeper insights in

Standardization has provided several benefits for Rosendin, the future. Remember that good foundations will save you

depending on where it was applied. For example, standardizing significantly more time and effort in the long run, instead of

the data points we collect allows us to create reference repeating things multiple times. 

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