Why Smart Manufacturers Should Implement Industry 4.0 Analytics

The Industrial Internet of Things (IIoT) promises to transform manufacturing, streamline operations, reduce downtime, and improve profitability with Industry 4.0 analytics.

From modernizing factory infrastructure, upgrading legacy equipment, and integrating IT and OT systems, plant managers are struggling to prioritize which investments will deliver higher outputs at a lower cost. 

As the machinery on the factory floor becomes more connected, the volume and variety of data being produced become more complex, often leaving managers with more questions than answers. While some organizations have implemented manufacturing analytics to interpret this data in real-time, many still review this machine data manually, downloading massive data sets to Excel spreadsheets in an attempt to make sense of all that Big Data.

Without the right systems and processes to collect, retain, and analyze the insights buried within this data, many manufacturers are unable to unlock the full value of their machine data.

This guide from Sightline highlights how modern manufacturers are using Industry 4.0 analytics to improve operations, remain competitive, and realize productivity gains. Read the full eBook to learn the top five ways that smart manufacturers are leveraging big data analytics.

Manufacturing analytics serve as the missing piece of the IIoT puzzle, the “last mile” that fully connects shop floor operations with top floor decision making. But not all manufacturing analytics platforms are created equal, with some comprehensive analytics packages providing complex metrics better suited for PhD data scientists than factory floor technicians.

“The number one objective for Operational Technology [such as IIoT] is the analysis of accurate,
relevant data for better decision making,” according to LNS Research, but if manufacturing executives can’t interpret the data, it’s of little use. Organizations looking to take advantage of the ROI, performance, quality, efficiency and compliance gains promised by IIoT advancements must ensure their Industry 4.0 analytics platform is easily understood.

Table of Contents:

1. ROI
2. Performance
3. Quality
4. Efficiency
5. Compliance