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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

A customer initiates a new account application through various channels, such as in-person at the branch, online, via mobile apps, or through the contact center. Early Warning assesses the probability that the customer is genuine by utilizing our top-notch banking data. This allows for real-time evaluation of identity validity, enhancing the detection of synthetic and altered identities. Additionally, Early Warning forecasts the likelihood that a customer may experience default due to first-party fraud within the initial nine months after opening an account. By applying predictive intelligence, we gain deeper insights into customer behavior. The system also estimates the risk of default stemming from account mismanagement during the same timeframe. Based on these assessments, applicant privileges can be customized to match your institution's risk tolerance. Harnessing real-time predictive analytics facilitates more informed decision-making. This approach not only broadens access for more customers to the conventional financial system but also helps manage risk levels, which could lead to an increase in potential revenue. Ultimately, balancing risk management with customer inclusion is key to fostering a healthier financial ecosystem.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

NuDetect No 

Integrations

NuDetect 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) No 
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

Early Warning

Founded

1990

Country

United States

Website

www.earlywarning.com/products/identity-chek-service-new-account-scores

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 

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