Increasing Data Driven Processes at an Industrial Company - A project performed at Scania

Abstract: Amidst a world with emerging problems in workforce shortages, environmentalimpact, and energy crisis, it has become essential to increase production efficiency.Having data driven processes using artificial intelligence and machine learning canbe a step towards the solution. Nevertheless, these applications rely heavily on datascientists being able to create high quality models. Complications can arise becausethe data is normally generated in conjunction with processes outside the datascientist’s competency. Therefore, it is of great importance that the personnelworking in proximity to the data generation are instilled with some competency ofdata science. So that they can, not only communicate and aid data scientists in theirwork but, perform data analysis themselves. Combining the results from a literaturereview and discussions with experts in the field of production and data science, afive-step plan was made that engineers can follow to have a value adding impactwhen working with data scientists. The content of this paper relates to an industrialsetting, namely Scania which is where the project was performed, but in essence thismethod can be used by anyone working with high volume data.