IDC PeerScape: Best Practices in Applying Predictive Analytics Routines Across APEJ Manufacturing

IDC PeerScape: Best Practices in Applying Predictive Analytics Routines Across APEJ Manufacturing

  • September 2019 •
  • 5 pages •
  • Report ID: 5817009 •
  • Format: PDF
This IDC report provides examples of how manufacturers have been looking at the predictive analytics space and the best practices that they have been adopting to address some of the challenges around application integrations, business unit communications, process optimizations, and organization culture. The main takeaway is to understand that the scope of predictive analytics is not restricted to the shop floor alone and can influence every function and aspect of the organizational processes. "Big data analytics is currently one of the most compelling technologies that has enabled addressing asset failures based on how they are operated and the conditions they are operated in, thus reducing the incidence of expensive unscheduled plant shutdowns," says Sampath Kumar Venkataswamy, research manager, AP Manufacturing Insights. "But the rollout of predictive analytics routines would require a hard-sell across the complete organization, not just at the operational levels, essentially driving culture change through workforce transformation."
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