1 December 2016
New Rockwell Automation Analytics Solutions Scale From Device Through Enterprise
By 2020, the industrial sector will be producing nearly 15 trillion gigabytes of data. With increasing amounts of data, manufacturers must find more effective and efficient ways to put this data to use. Rockwell Automation is releasing expanded and scalable analytics offerings to help customers more quickly and easily gain insight from their investments in automation technology.
“Our Connected Enterprise vision has always had analytics and collaboration at its core,” said John Genovesi, vice president of Information Software and Process Business, Rockwell Automation. “As we expand our Information Solutions offerings, a primary goal is to make analytics more approachable and right-sized for the customer. New analytics solutions help our customers move ahead on their Connected Enterprise journey, no matter where they are today.”
The new Rockwell Automation offerings expand capabilities for analytics across the plant floor for devices, machines and systems, as well as throughout the enterprise. In this approach, analytics are computed and gain context closest to the source of decision at the appropriate level in the architecture to return the highest value – from edge devices to the cloud on a variety of new appliances, devices, and on- or off-premise cloud platforms.
New solutions cover remote monitoring, machine performance, device heath and diagnostics, and predictive maintenance to enable companies to derive value from their data more quickly, easily and incrementally. At the enterprise level, these solutions offer more powerful ways to integrate plant-floor data into business intelligence strategies.
“For any manufacturer or industrial company, control systems are the birthplace of data,” Genovesi added. “As the provider of those systems, Rockwell Automation can help customers better understand, analyse and act on this data with several new products and services.”
“We have watched Rockwell Automation move forward significantly in the analytics space, coming to play a role equal to that they serve in the MES/MOM and EMI arenas,” noted Matthew Littlefield, president and principal analyst, LNS Research. “Our research on IIoT and analytics adoption clearly shows a need for more flexibility and scalability in this space. It’s encouraging to see companies like Rockwell Automation walk the talk of industrial analytics.”
As the application uncovers information about how the devices are related to each other, such as their network topology or fault causality, it starts to understand the system on which it is deployed to make prescriptive recommendations. For example, with the appliance in place, it can send users an action card if an Allen-Bradley PowerFlex drive needs to be reconfigured to maintain optimal performance, helping prevent potential downtime and prescribing solutions to maintenance teams.
Analytics for Equipment Builders
About Rockwell Automation
For further information please contact our Media team.