Graham Construction has grown significantly in the last several years, through organic growth and acquisition and merger. Growth, while exciting for the company overall, creates significant challenges for how we manage a growing data asset within an expanding technology landscape.

Speed to decision is key, and the challenge from our Executive team has been how do we utilize the data we have to maintain and grow our competitive edge in major construction across Canada and the US. While ERP systems and other business software will eventually be rationalized and consolidated, we cannot wait to have access to quality data to improve strategic decision making, such as emerging market opportunities, and oversight of our in-progress builds.

The long-term strategy for Data and Analytics at Graham looks beyond incremental current state improvements and into future construction capabilities we want to be able to exploit. More and more data are coming to us in a range of different forms, such as IoT and streaming telematics data from our equipment fleet, unstructured data coming from construction drawings, plans and digital images for quality assessments. Our centralized data platform needs to be able to handle not only the growing volume of data, but also a range of data types. We want to be able to quickly bring new use cases and types of analysis to Graham and exploit artificial intelligence and machine learning for business gain.

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