Automated Early Warning Signals

Automated Early Warning Signals

The Automated Early Warning Signals (EWS) dashboard is a comprehensive solution designed to monitor financial and non-financial indicators across various parameters. It leverages proprietary machine learning algorithms to automatically detect potential risks by generating alerts whenever thresholds are breached. The EWS dashboard facilitates proactive risk management by providing real-time insights, helping in timely identification of potential risks.


The dashboard incorporates the following key features:


Automated Monitoring

Automated Monitoring

The platform aggregates data from multiple sources and identifies critical trigger events, offering alerts for financial metrics such as asset-liability changes, related party transactions, and negative operating cash flow, as well as non-financial indicators like management changes, regulatory actions, or external rating downgrades.

Dynamic Alert Frequency

The system generates alerts based on data frequency: annual or quarterly for financial data, and customizable intervals (e.g., monthly or daily) for non-financial data.
Dynamic Alert Frequency
Comprehensive Analysis

Comprehensive Analysis

The dashboard provides a company-level view, showing detailed parameter values, breach indicators, and underlying calculations through interactive pop-ups.

It also offers a portfolio-level overview, highlighting overall risk levels, breaches by category, and industry-specific risk concentration through features like heat maps.

Intelligent Scoring Mechanism

Each trigger event is assigned a weighted score, allowing for a clear assessment of overall risk at both company and portfolio levels.