Predictive Asset Management: The IoT Analytics and Ecosystems Play

Predictive Asset Management: The IoT Analytics and Ecosystems Play

This IDC Perspective outlines the role of analytics software and ecosystems in the success of Internet-of-Things (IoT) projects in asset maintenance across industries. Traditionally, asset maintenance has often been seen as no more than an obligation or even a liability for industries owning asset-intensive processes."A proactive maintenance strategy — based on machine learning, AI, and a 360-degree view of the assets enabled by IoT — is gaining recognition within major asset-intensive industries, such as manufacturing and automotive, and becoming the new paradigm," says Marta Muñoz, EMEA IoT Practice Leader, IDC Europe.

Please Note: Extended description available upon request.

Executive Snapshot
Situation Overview
Asset Maintenance: What's the Challenge?
The Solution: Proactive Asset Maintenance
Analytics-Driven IoT Platforms
The Role of Application Enablement Platforms
Data Ingestion
Data Integration and Transformation
Insight Automation
Edge Insight Streaming
The Result: Expanding the Window of Action
Ecosystems: The Core of the Business Model
The Winning Model
Industry Perspective
Supplier View
Advice for the Technology Buyer
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