Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Ensure the upkeep and efficiency of physical assets by leveraging real-time data, the Internet of Things (IoT), machine learning, mobile solutions, and advanced predictive analytics. Enhance the planning, scheduling, and execution of maintenance tasks through the integration of smart technologies that offer fresh value and streamline your operations. Disseminate exemplary methods for the effective deployment, oversight, and maintenance of machinery. Improve the management of assets and customer service workflows with a centralized database for all asset and equipment details. Minimize equipment downtime and boost asset productivity through an automated system for monitoring equipment utilization. This comprehensive approach not only enhances operational efficiency but also fosters a culture of continuous improvement in asset management practices.
API Access
Has API
No
API Access
Has API
No
Integrations
AS-TEG
No
Innovapptive Connected Worker Platform
No
Nisoft Eclipse Suite
No
Redlist
No
SAP Joule
No
SAP Store
No
Sigga EAM Empower
No
Sigga Planning & Scheduling
No
Sockeye
No
UptimeAI
No
Integrations
AS-TEG
Yes
Innovapptive Connected Worker Platform
Yes
Nisoft Eclipse Suite
Yes
Redlist
Yes
SAP Joule
Yes
SAP Store
Yes
Sigga EAM Empower
Yes
Sigga Planning & Scheduling
Yes
Sockeye
Yes
UptimeAI
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Aveva
Founded
1967
Country
United Kingdom
Website
www.aveva.com/en/products/predictive-analytics/
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
www.sap.com/products/supply-chain-management/asset-management-eam.html
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Product Features
EAM
CMMS
No
Energy Management
No
Equipment Management
No
Facility Management
No
IT Asset Management
No
Inventory Management
No
Maintenance Management
No
Parts Management
No
Preventive Maintenance Scheduling
No
Software License Management
No
Warranty Management
No
Work Order Management
No