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Description

Enhancing reliability, performance, and safety stands as a primary focus for industrial enterprises and businesses in the current landscape. Organizations are channeling their resources and efforts into managing expenses effectively while striving to maximize value from their existing assets. AVEVA Predictive Analytics empowers these organizations to achieve optimal returns on essential assets by facilitating predictive maintenance (PdM) initiatives. The AVEVA Predictive Analytics solution offers advanced early warning notifications and diagnostics for equipment problems, potentially identifying issues days, weeks, or even months before they lead to failures. This proactive approach allows asset-heavy organizations to minimize equipment downtime, boost reliability, and enhance performance, all while decreasing operational and maintenance costs. Furthermore, AVEVA Predictive Analytics seamlessly integrates with various control and monitoring systems and supports deployment either on-premises or in a cloud environment. Its highly scalable architecture enables the monitoring of anything from a single asset to entire plants or even hundreds of remote assets spread across multiple locations, ensuring comprehensive oversight and management capabilities. Ultimately, this solution aids organizations in navigating the complexities of asset management in an increasingly competitive market.

Description

Equip your engineers with the essential digital tools required to forecast and avert asset downtime effectively. By enhancing machine availability and ensuring asset reliability, you can facilitate proactive maintenance along with PaaS solutions. This strategic approach will also help to lower break-fix and repair costs while optimizing how resources are allocated. Furthermore, it will elevate the quality of service and enhance the customer experience. The availability of machines is crucial for your customers' achievements, and relying solely on traditional break-fix service models is no longer adequate, as downtime can lead to substantial financial losses. To adapt to these evolving service demands and transition towards a proactive service approach, it is vital to invest in cutting-edge technology that not only gathers IoT sensor data but also analyzes this information to identify irregularities and predict potential failures. Embracing such a solution will not only foster high equipment availability but also ensure exceptional service delivery through intelligent repair methods. Ultimately, this proactive stance will position your organization as a leader in reliability and responsiveness in the marketplace.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Aveva

Founded

1967

Country

United Kingdom

Website

www.aveva.com/en/products/predictive-analytics/

Vendor Details

Company Name

Syncron

Country

United States

Website

www.syncron.com/solutions/uptime/

Product Features

Predictive Analytics

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

Product Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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