Company and session highlights:

Akira Togawa from Harris Company discussed the process of collecting and preparing relevant data and how predictive analytics led to accurate cost estimation and scheduling. Additionally, he shared insights on challenges and lessons learned to help organizations better prepare for predictive analytics implementation.
The increasing importance of data governance is being recognized across the industry to ensure consistent and trustworthy data but implementing this continues to be an industry-wide challenge. Sarah Griffin from Turner Construction and Murali Srinivasan from McCarthy Building Companies presented case studies on how data governance was implemented in their organizations and how this streamlined data operations and ensured successful business initiatives.
Bartlett Cocke’s Andrew Pitcher highlighted the significance of raw data extraction for laying the groundwork for effective data management and best practices for extracting raw data from different systems and external sources.
Skanska speakers Lisa Neal, Ben Anic, and Marie Roza shared an engaging case study on their journey navigating efficiency with data warehouses using low/no-code applications over the past several years. This is a great way to get involved with data initiatives if you don’t have the technical expertise on hand.
Hoffman Construction is prioritizing workflow automation using Python, safety predictive analytics, and quality reporting. Data Manager Erena Friedrich co-presented with Safety Director Jason Dunton to showcase how they are digitizing and streamlining safety processes and leveraging predictive analytics to identify potential risks and proactively address them.
Caitlin Plein from Clayco, who was recently interviewed by CDO Magazine, shared her insights about the importance of data cataloging to streamline the retrieval process and locate data easily.
DRYCO Construction’s Sergio De Leon shared how the company has managed to use data analytics to predict when equipment maintenance is needed as well as estimate the future market value of equipment to optimize equipment lifecycle and profitability.
Rosendin Electric’s Jad Chalhoub shared a raw and honest perspective on encouraging employees to recognize the value of data and training field teams to prioritize data integrity.

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