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Industrial data analytics face hurdles from legacy systems, data silos, culture gaps and costs. Explore key challenges and share your insights in our survey

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Source: Varland Plating and Opto 22
After updating its 30-year-old control and I/O infrastructure from Opto 22 to its newer groov EPIC controllers, I/O channels and GRV-CSERI-4 serial modules, Varland Plating’s electroplating plant in Cincinnati, Ohio, developed homegrown historian software with Opto 22’s open-source-friendly REST API, visualizes and contextualizes data using Grafana’s open-source monitoring platform, and performs custom data collection with Ignition web-based SCADA software.
Varland Plating’s plant developed homegrown historian software, visualizes and contextualizes data, and performs customized data collection
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Useful and effective data analytics begin with matching the right tools to the right tasks
Source: Ferroloy and Inductive Automation
Figure 1: Ferroloy iron foundry in Wichita, Kan., worked with system integrator Artek Integrated Solutions to build and configure a server-based MySQL database; link it with Inductive Automation’s web-based Ignition SCADA software and Tag Historian module; establish a centralized repository for maximizing data collection and analytics; and identify trends and shift reports almost in real time. Ignition also helps the foundry secure data from its Hitachi and Heraeus equipment, connect with PLCs on its Sinto molding machines, and directly access its B&L Odyssey ERP system.
Ferroloy and Artek Integrated Solutions linked their MySQL database with Ignition SCADA software to quickly identify trends and shift reports
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Hargrove Controls & Automation shows how users’ needs should determine analytics types and deployment
Source: Jim Montague
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