Streamlined operations, increased profitability and customer satisfaction hinges on the availability of reliable, complete, accurate and up-to-the-minute device data collected across the enterprise. While the IIoT provides the digital infrastructure to move data to where it needs to be, the quality of the data itself is what matters.
In many cases, this data is used to assess the health and performance of each device. Trends in performance data can call out pain points and bottlenecks within business-critical processes. Subtle changes in machine data may alert maintenance teams to the wear and tear of certain parts or provide an early warning system that an item of equipment is heading for a breakdown. Stepping in to fix these problems in time can save companies a fortune in downtime and the lost earnings or missed orders that result from this.
While the IIoT opens many new opportunities for businesses, it may pose a few obstacles. First and foremost is the problem of IIoT data storage. When every device in your building is generating these enormous amounts of information, where do you store it? Especially when the appeal of an IIoT network is connectedness – how do you ensure that everyone in your team can get to what they need? Fortunately, a cloud-based platform, will minimize the pressure on your hardware and keep your offline storage requirements to a minimum.
Today’s future-focused factory is about filling data gaps and optimizing factory productivity; however, not all legacy machines were initially built to gather and integrate data into an IoT platform. Some machines may even have security features built in to prevent data collection.
These can fortunately be overcome through a coherent, effective strategy described in this white paper, so that you can still collect, transmits, synthesize and analyze your valuable data to discover key insights. Discover these best practices, so you can maximize your ROI while continuing to use your legacy equipment.