2019Case20Jacobs

77 L EAN C ONSTRUCTION I RELAND A NNUAL B OOK OF C ASES 2019 Big Data As Peter Drucker said, “If you can’t measure it, you can’t manage it”, and the DSG are focused on data mining the models and information from past projects to ensure that Jacobs are understanding the metric data. This data is essential not only to winning future projects, but also to bench-mark project delivery against the key performance indictors which we are judged upon. Programs have been written that automate the extraction of data from the model in a consistent manner. This makes the overall review of the project data easy and less time-consuming. Material take- offs, Builders work opes, data sheets and schedules are easily extracted from the model where traditionally this data would have been hugely time-consuming to generate. Figure 4. Data Mining Looking to the Future Jacobs DSG are constantly looking at opportunities to innovate and improve the systems utilised in the design, with a focus on the future of engineering. Artificial Intelligence (AI), Machine Learning, and Neural Networks are all providing these opportunities. It means that this is a truly exciting time to be involved in engineering. Figure 5. What’s next?