Experience significant cost optimization through effective data quality management that minimizes downtime, allowing your teams to focus on strategic initiatives instead of dealing with disruptions.
Enable business users to take charge of managing data quality through user-friendly dashboards and self-service tools. This democratization fosters a culture of accountability, encouraging collaboration across teams in maintaining high standards of data integrity.
Maintain accurate and reliable data to reach higher levels of regulatory compliance. This proactive approach reduces the risk of penalties tied to data inaccuracies while enhancing stakeholder trust in your reporting and analytics.
Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.
Proactive Anomaly Detection
Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.
Deep Data Profiling
Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.
Custom Data Quality Rules
Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.
It is a leading solution when it comes to data quality and how to detect and resolve quality issues.
Automation using AI helps data quality checks in no time. Convergence of Data Quality and Data Observability all in one platform.
Modern Data Quality platform that provides a rich feature set around all the core capabilities expected of a data quality toolset.
It's easy to integrate and very user friendly. It allows any new integrations and enhancements which makes this tool quite effective and flexible.
Data accuracy: Data quality platforms help in cleaning and standardizing data, ensuring accuracy and consistency.
Very innovative product and the level of automation is superb, particularly the automatic semantic sensing and application of a vast library of out-the-box validation rules.
DQLabs Platform
The DQLabs platform harnesses the combined power of Data Observability, Data Quality, and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.
150+ 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.
Data profiling: Out-of-box measures to analyze the data to profile at basic and advanced levels depending on one's use case.
Simplify the way you find and understand your data
Self-Service Data Discovery: A user-friendly platform that provides End-to-end visibility of business terms and quality metrics across your entire data ecosystem.
Semantic layer: Ability to define semantic terms, tags, applications, dimensions, and fields for effective data categorization
Catalog and Governance integration: Bi-directional integration with leading catalog and governance tools for enhanced data cataloging, automated data quality, and Increased trust in data.
Timely issue detection with smart alert prioritization
AI/ML powered anomaly detection: AI/ML-powered anomaly detection to continuously monitor data flows, comparing current values against historical benchmarks.
Alerts Prioritization: DQLabs Automatically prioritize alerts by deviation severity—high, medium, or low—so you can focus on the most critical data issues first.
Issue management: Integrate with Jira, Slack, and more to streamline issue resolution, enhance collaboration, and drive faster decisions.
“DQLabs helped us continuously improve data quality in business processes, applications, data, and analytic platforms using automated health checks and custom measures to build trusted data assets that support Operations teams.”
Leading Data Provider Enhances Reliability by Shifting Left
“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
