Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • HSI Donesafe Reviews & Ratings
    4.7 out of 5 stars 185 Ratings
    Company Website for HSI Donesafe
  • Fraud.net Reviews & Ratings
    4.7 out of 5 stars 57 Ratings
    Company Website for Fraud.net
  • D&B Credit Insights Reviews & Ratings
    4.2 out of 5 stars 69 Ratings
    Company Website for D&B Credit Insights
  • Predict360 Reviews & Ratings
    4.7 out of 5 stars 18 Ratings
    Company Website for Predict360
  • D&B Risk Analytics Reviews & Ratings
    4.4 out of 5 stars 81 Ratings
    Company Website for D&B Risk Analytics
  • D&B Finance Analytics Reviews & Ratings
    4.2 out of 5 stars 802 Ratings
    Company Website for D&B Finance Analytics
  • SBS Banking Platform Reviews & Ratings
    4.5 out of 5 stars 29 Ratings
  • SBS Asset Finance Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for SBS Asset Finance
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • Bryt Software Reviews & Ratings
    4.8 out of 5 stars 21 Ratings
    Company Website for Bryt Software

What is RiskConfidence?

The RiskConfidence ALM system offers a thorough solution for managing enterprise assets and liabilities (ALM), as well as addressing funds transfer pricing (FTP), liquidity risk, market risk, and Value at Risk (VaR), while also facilitating both business and regulatory reporting. All of these functionalities are integrated into one cohesive platform that employs a unified data source and a consistent engine strategy. This system allows for the organization and categorization of financial instruments on a balance sheet in a hierarchical manner, which is beneficial for applying client behavior models and crafting business forecasts through the chart of accounts (COA) framework. Users are able to set up and manage a rule-based approach for specific balance sheet elements using parameter deal mapping (PDM), enhancing precision in asset management. Additionally, the system provides the flexibility to apply transformation logic to a variety of financial metrics, such as interest rate curves, macroeconomic indices, foreign exchange rates, transaction characteristics, and volatility matrices for thorough scenario analysis. Beyond these features, it also enables users to replicate client behaviors like loan prepayments, renegotiations, loan commitments, transaction rollovers, and early redemption of term deposits, all while considering various influencing factors. This extensive array of functionalities not only fosters informed decision-making and strategic planning within financial organizations but also enhances the overall efficiency of asset and liability management. Ultimately, the system proves invaluable for organizations seeking to navigate the complexities of financial risk management effectively.

What is DAVinCI LABS?

In the process of selecting a target for prediction, a sophisticated algorithm discerns patterns within the dataset to construct a forecasting model. By identifying a variable that acts as a basis for decision-making, it systematically organizes clusters that display significant trends and defines the characteristics of each cluster through established rules. Furthermore, if the features of the data change over time, it can project future target values by analyzing trends associated with the time variable. Even when the characteristics of the data are not explicitly stated, the algorithm skillfully categorizes clusters with distinct behaviors, which can aid in identifying outliers in new datasets or offer novel insights. In our company's method for identifying marketing targets, we consider variables such as gender, age, and mortgage status; however, it may be advantageous to investigate additional factors that could improve our predictive performance. By incorporating elements like income level, education, and geographic location, we could further enhance our targeting strategy and ensure that our marketing efforts are more effectively aligned with potential customers' needs. This comprehensive approach to data analysis could ultimately lead to better decision-making and increased success in our campaigns.

Media

Media

Integrations Supported

Integrations Supported

Motion Array

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Not specified

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Moody's Analytics

Date Founded

2007

Company Location

United States

Company Website

www.moodysanalytics.com/product-list/riskconfidence

Company Facts

Organization Name

AILYS

Company Location

South Korea

Company Website

davincilabs.ai

Categories and Features

Regulatory Reporting

Not specified

Transfer Pricing

Not specified

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence

Data Analysis
Predictive Analytics
Visual Analytics

Popular Alternatives

Popular Alternatives

Predictive Suite Reviews & Ratings

Predictive Suite

Predictive Dynamix