Is Your Organization Struggling with Any of These Data Issues?
Data Integrity
Frequent issues with data anomalies, schema changes, and inconsistencies can lead to unreliable insights and decision-making delays.
Pipelines Unpredictability
Bottlenecks, delays, and undetected errors in data pipelines create roadblocks, slow down workflows, and complicate troubleshooting.
Limited Visibility into Data Usage
Lack of insight into data access and usage patterns increases risks of non-compliance, inefficient resource allocation, and potential misuse.
Alert Fatigue
Excessive notifications and low-priority alerts make it difficult to stay focused on critical issues, leading to slower response times and missed data issues.
Overcome your Quality Challenges with DQLabs
GenAI-driven Data Quality
Conversational Data Quality for All Personas: Focused on delivering a seamless experience for both technical and non-technical users.
Simplified user queries: Users can ask questions, request data profiles, explore data quality metrics, and execute data quality rules.
Enhanced usability: Simplifies the usability of the platform, reducing the need for technical expertise to perform data quality tasks.
Data Quality Automation and Monitoring
50+ OOB DQ checks: Ensure data accuracy and trustworthiness with DQLabs out-of-the-box DQ checks for all dimensions - Accuracy, Completeness, Consistency, Uniqueness, Validity, and Timeliness.
Customizable DQ checks: Customize data quality checks with flexible query mechanisms and conditional logic for specific use case requirements.
Deep Data profiling: Out-of-box measures to analyze the data to profile at basic and advanced levels depending on specific use cases.
Performance Metrics: Real time data quality monitoring for unexpected values, nulls, schema changes, data volumes, types, value frequencies, and formats.
Anomaly Detection and Alerts prioritization
AI/ML-driven anomaly detection to take care of unknown data quality issues.
AI/ML-driven alert prioritization, based on the deviation from the historical trends, for effective issue resolution and reduced alert fatigue.
Integration with popular issue management tools and communication channels like Jira, Slack, and BigPanda for seamless issue management and resolution.
Data Lineage and Governance
Visual map of your data journey from upstream sources to downstream systems and applications to accelerate the issue identification and resolution process.
Granular controls on asset ownership, and data usage with granular role-based access controls.
Bi-directional integration with leading data catalog tools for enhanced data cataloging and data quality automation.
Platform Flexibility and Usability
Flexible deployment options tailored to your needs: Traditional on-premises, Data Quality PaaS, Data Quality SaaS, and public or private cloud infrastructure.
Connectivity: Seamless integration with a wide range of leading data warehouses, data lakes, lakehouses, RDBMS, ETL tools, data transformation tools, catalogs, and issue and communication management tools.
Tailored for a comprehensive audience, including Data Leaders (CDO/CDAOs), Business Stakeholders, Data Stewards, Data Scientists, Data Analysts, Citizen Users, Data Engineers, and DataOps professionals.
What Our Clients Are Saying
City of Spokane Enhances Public Safety with DQLabs
“DQLabs helped us deliver a consistent source of high-quality data to address high-risk populations’ concerns and improve public safety and community planning.”
Tacoma Public Utilities Enhances Data Discovery with DQLabs
8x
Improvement in data discovery and issue resolution
“By using DQLabs, We automated the end-to-end business process and were able to continuously monitor the critical data elements with better productivity..”
Seamlessly integrate with your Modern Data Stack
Recognitions & Partnerships
Let our experts show you the combined power of Data Observability, Data Quality and Data Discovery.
