Analytics

This blog post will discuss important considerations for an effective data strategy, reveal why contextualization is critical, and showcase what anintelligent, agile, data-driven, and on-demand enterprise looks like.

While it is true that there are a multitude of unprecedented problems facing manufacturers, there are also many exciting opportunities for growth and innovation. The most forward-thinking manufacturers are laser-focused on transforming their operations through digital technology. In this blog post, we'll look closely at top challenges for today's manufacturers, key ways to mitigate issues, and how the right MES can help you attain digital dominance.

Manufacturing organizations are implementing more analytics capabilities than ever before with the hopes of leveraging insights from their machines, people, and processes to drive positive outcomes that ultimately drive revenues. Unfortunately, simply connecting your machines, extracting that data, and then hoping for the best will set you up to fail.

Acquiring data from the entire factory is just the first step towards improving the manufacturing process using digital solutions. What you do with the data is much more important than merely having it, creating dashboards, performing machine learning, and analyzing it. The real IIoT-based MES digital twin for manufacturing has arrived.