Think Big, Start Small, Scale Fast: The Data Engineering Workbook

Many manufacturers are overwhelmed by the sheer volume of data they generate and struggle to transform it into actionable insights. In today's modern industrial facilities, it's not uncommon to produce more than a terabyte of data each day. This data deluge, coupled with the advent of advanced technologies such as artificial intelligence (AI) and machine learning (ML), presents both a challenge and an opportunity. Real-time dashboards and sophisticated analytics promise significant productivity gains, yet the reality often falls short of expectations. Despite the potential for AI and ML to revolutionize operations, unplanned maintenance of assets and production lines remains a persistent issue. The mere availability of data does not inherently make it useful. Industrial data is typically raw and unstructured, which requires meticulous processing to become fit for purpose and unlock its true value.

Recognizing these challenges, we present 10 practical steps designed to help manufacturing and industrial leaders navigate the complexities of data engineering. This e-book includes concise questionnaires aimed at enhancing understanding and facilitating the application of proven processes and technologies.

Discover how following these steps can effectively help you harness your data and transform it into a powerful asset that drives efficiency and innovation.