Dataguard

DataGuard is Sigmoid’s enterprise-ready Data Quality Management platform designed to help organizations establish trust in their data across analytics, reporting, and machine learning workflows. Built for large-scale, distributed cloud environments, DataGuard enables automated, rule-based validation without requiring data extraction or third-party transfers—reducing compliance risks while improving operational efficiency.

The platform integrates seamlessly with existing data lakes, warehouses, and pipeline orchestration frameworks. It supports structured and semi-structured data sources including SQL, NoSQL, flat files, and cloud storage layers. With self-service rule configuration, automated diagnostics, and customizable quality dashboards, business and data teams gain full visibility into data health across layers.

DataGuard also incorporates Role-Based Access Control (RBAC) to ensure secure and governed access aligned with enterprise policies. Automated notifications and diagnostic reports reduce turnaround time for issue resolution and improve collaboration between data engineering and business teams.

Key Capabilities:

Automated data validation and rule-based quality checks Real-time data health dashboards and executive reporting Seamless integration with existing cloud data architectures Compliance-friendly architecture without data replication Scalable processing for high-volume enterprise workloads

Business Outcomes:

Improved BI and ML model accuracy Faster detection and resolution of data quality issues Reduced compliance risk from third-party data handling Increased trust in analytics across business functions

DataGuard is designed to integrate with AWS services including Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, and CI/CD pipelines, enabling scalable, secure, and governed data quality operations within AWS environments.