How Oracle Leverages Data to Make Construction Timelines More Accurate
From drones and bleeding-edge technology to the end-to-end processes that drive efficiency, modern construction is undergoing a renaissance. Host Shaun MacIntosh talks with the top leaders in construction and provides unmatched insights into the industry that quite literally built the world around us. When it comes to unique innovation in the construction world, perhaps one of…
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From drones and bleeding-edge technology to the end-to-end processes that drive efficiency, modern construction is undergoing a renaissance. Host Shaun MacIntosh talks with the top leaders in construction and provides unmatched insights into the industry that quite literally built the world around us.
When it comes to unique innovation in the construction world, perhaps one of the best companies to look at is Oracle, the company known for its comprehensive and fully integrated stack of cloud applications and platform services. Oracle helps those in the construction sector realize its goals through technology and processes, which drive efficiency.
On this episode of Track.Map.Measure, Host Shaun MacIntosh talked with Burcin Kaplanoglu, Vice President, Oracle Industries Innovation Lab at Oracle. The duo spoke about Burcin’s career and how important data is when it comes to construction.
He started training in civil engineering before he moved into project management. While in grad school, he also realized he liked teaching, so he began pursuing that, as well. He then earned a Ph.D. while working in the industry. Now, he has taught at Northwestern University for over a decade while working in the private sector. Let’s say he is a busy man.
He joined Oracle a little over three years ago. He took over a position on the construction side of things before he moved into technology. In one year, he worked on a program that worked on over 750 sites.
“That project I was able to work with a large team, but was also able to leverage data,” Burcin said. “Looking at the data, trying to make predictions on which project would be completed on time, which ones would not be, and what are the common issues so we can figure out systemic issues.”
This was a pivotal project in his career. It showed him the importance of data. It also showed him that it’s less about the construction and more about the process and how to get projects over the finish line.
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