Audience

Companies seeking a predictive analysis solution to improve reliability, performance, and safety of their assets

About AVEVA Predictive Analytics

Improving reliability, performance, and safety are among the top priorities for industrial organizations and businesses today. They are focusing efforts and resources on controlling costs and maximizing value from existing investments. AVEVA Predictive Analytics helps organizations gain the highest return on critical assets by supporting predictive maintenance (PdM) programs. Our AVEVA Predictive Analytics solution provides early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organizations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures. AVEVA Predictive Analytics integrates with a wide variety of control and monitoring systems and can be deployed on premise or in the cloud. The system is highly scalable and can be used to monitor a single asset, plant or hundreds of remote assets across multiple sites.

Pricing

Free Trial:
Free Trial available.

Integrations

No integrations listed.

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Company Information

Aveva
Founded: 1967
United Kingdom
www.aveva.com/en/products/predictive-analytics/

Videos and Screen Captures

AVEVA Predictive Analytics Screenshot 1
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Product Details

Platforms Supported
SaaS
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
24/7 Live Support
Online

AVEVA Predictive Analytics Frequently Asked Questions

Q: What kinds of users and organization types does AVEVA Predictive Analytics work with?
Q: What languages does AVEVA Predictive Analytics support in their product?
Q: What kind of support options does AVEVA Predictive Analytics offer?
Q: What type of training does AVEVA Predictive Analytics provide?
Q: Does AVEVA Predictive Analytics offer a free trial?

AVEVA Predictive Analytics Product Features

Predictive Analytics

For Education
For Healthcare
Modeling & Simulation
Data Blending
Demand Forecasting
Sentiment Analysis
Data Mining
AI / Machine Learning
Benchmarking