Risk Management and Compliance Analytics

Mitigate 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 employ data-driven risk mitigation strategies for faster resolution.

 

With the help of our risk and compliance analytics, financial institutions can create risk assessment solutions that predict the likelihood of a customer taking 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 predictive analytics 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

Risk Management

Risk Management

    • Predict threat levels through risk assessment analytics and 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.

    • Leverage fraud risk analytics to enable accurate fraud detection with machine learning algorithms that recognize suspicious anomalies in large, high-velocity transaction data.

Regulatory Reporting

Regulatory Reporting

    • 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.

Data Security icon

Data Security

    • 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.

Case study

Enhanced trade surveillance and regulatory compliance for top-3 investment bank

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.

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Trade surveillance and regulatory compliance

Customer success stories

Insights and perspectives

Blog Cloud data security

How to enhance cloud data security for financial institutions

POV Detection and prevention financial crimes

Financial crimes - detection and prevention

Whitepaper Accelerating Data Governance with Cataloging

A guide to accelerating Data Governance with Cataloging

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FAQs

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Risk management analytics techniques like propensity modeling is essential to forecast potential risks by analyzing historical data and identifying patterns that signal future risk events. For example, it can predict customer defaults or supply chain disruptions by examining past behavior and trends, allowing organizations to proactively address and mitigate these risks before they occur.

By employing AI-driven analytics to categorize entities into standardized risk classes, Sigmoid’s risk classification modeling provides a structured approach to predicting threat levels. This method analyzes data patterns to forecast potential risks, allowing organizations to prioritize and manage critical threats more effectively. This categorization ensures that risk management strategies are informed and targeted, improving overall risk analysis and assessment efforts.

Sigmoid’s risk analytics enhances trade surveillance by using advanced data analysis and machine learning models to monitor trading activities in real-time. It identifies unusual patterns and behaviors that may indicate fraudulent or non-compliant actions, allowing for immediate detection and response. This proactive approach helps ensure regulatory compliance and reduces the risk of financial misconduct.

Sigmoid’s risk and analytics solution leverages data governance and cataloging to hep companies enhance their risk and compliance tools by ensuring that data is systematically organized and easily accessible for compliance analytics. This structured approach enables accurate tracking of data lineage and quality, supporting reliable risk assessments and maintaining regulatory compliance. By integrating strong data governance practices, organizations can effectively utilize compliance analytics and risk assessment services to gain a comprehensive view of data across the enterprise, improving overall risk management efforts.

Sigmoid’s risk analytics solution power real-time fraud detection by analyzing transaction data as it happens, using AI-driven models to spot irregularities instantly. For example, it monitors for patterns like unusual transaction volumes or locations that deviate from a user’s typical behavior. By integrating risk analysis finance capabilities the system can process data in real time and flag potential fraud immediately, allowing for swift action to prevent unauthorized transactions and minimize financial risk.

Lower cost of your regulatory compliance!

Talk to our experts to move your data to the cloud, stay compliant, and mitigate risks faster.

Let's connect