Risk Management and Compliance AnalyticsMitigate risk and ensure compliance with robust data and machine learning solutions
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Secure your business with risk management analytics solutions
Enterprises across industries deal with the complexity of processing extensive data from various origins while establishing mechanisms for non-compliance detection and real-time risk oversight. Sigmoid's data engineering and AI services provide risk management analytics for organizations seeking to navigate these challenges and fortify their risk management practices.
With the help of our risk and compliance analytics, financial institutions can predict the likelihood of a customer to take a specific action using propensity modeling as well as assess a company’s credit worthiness based on credit score modeling. Moreover, in industries such as healthcare, CPG, retail, and supply chain, our scalable data models play a critical role in enhancing decision quality, identifying malpractices, and instating robust governance policies. Embracing data-driven risk management is a strategic imperative for a wide array of industries, ensuring resilience and sustainable growth.
Navigate the evolving risk and compliance landscape with real-time analytics
Predict risk levels through AI-driven risk classification models that can categorize entities into standardized risk classes.
Create targeted risk profiles of customers via segmentation models that identify behaviors, characteristics, and past activities.
Enable accurate fraud detection with machine learning algorithms that recognize suspicious anomalies in large, high-velocity transaction data.
Centralize enterprise data from all sources into a readily available data lake with standardized schemas for integrated analytics.
Combine, cleanse, and process data automatically across platforms for consolidated, unified analytics and reporting.
Gain on-demand visibility on risk indicators for continuous threat management through interactive analytics dashboards.
Establish rigorous governance standards and catalog data to improve compliance and risk data accountability.
Manage the end-to-end lifecycle of risk data sets with tools for discovery, integration, security, and model-based data processing.
Ensure data governance by deploying models that can trace data’s origin and transformation journey to maintain accountability in compliance.
Find out how Sigmoid helped set up a robust trade surveillance for a top-tier investment bank, making it regulatory compliant and creating faster system response times.Download PDF
Customer success stories
Automating financial crime compliance with near real-time automated data ingestion
- 3 days to 1 hour improvement in risk assessment time
- Near real-time flagging of data anomaly
- 1.5x reduction in operational cost
85% reduction in false positives using real-time fraud detection for leading insurance provider
- Real-time fraud detection for claims processing
- 85% reduction in false positives
- 30% increase in effective fraud detection