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Enhancing Financial Data Quality The JMMB Journey
Webinar|25th February 2025| 11 AM EST
Webinar
25th February 2025
11 AM EST
Register NowModern Data Quality for Your AI and Business Initiatives
Achieve data accuracy and trust with DQLabs' AI-driven, automated data quality solution.
Common Data Quality Challenges
Monitor Data Quality
Continuous Monitoring for Accurate, Trusted Data
DQLabs continuously monitors data health, detecting and resolving inconsistencies instantly to ensure accurate and reliable insights for decision-making.
Trace Data Lineage
Complete Transparency Across Pipelines
Get full data lineage visibility with DQLabs, enabling fast issue resolution, reduced downtime, and maintained data integrity from source to destination.
Proactive Alerting and Notifications
Faster Fixes, Less Downtime
DQLabs uses advanced AI/ML techniques to identify outliers in real time, preventing analytical errors and enabling proactive issue resolution to reduce downtime.
Data Quality Automation
- Out-of-the-box quality rules: 250+ data quality measures across health, frequency, distribution, and statistical categories, with dimensions based on the criticality of data to improve accuracy toward business outcomes.
- Customizable DQ checks: Customizable no-code data quality checks with flexible queries and conditional logic for comprehensive data quality coverage.
- Data profiling: Out-of-the-box measures for basic and advanced data profiling to assess data structure and identify inconsistencies, ensuring data validity and completeness.
Anomaly Detection and Issue Resolution
- AI/ML-powered anomaly detection to identify unusual data patterns and outliers.
- AI/ML-driven alert prioritization based on impact severity, ensuring efficient issue resolution and preventing alert fatigue.
- Integration with Jira, Slack and other workflow management and collaboration tools to streamline issue resolution.
Data Lineage and Governance
- Comprehensive data lineage that provides the complete data journey from upstream to downstream sources.
- Role-based access control for effective data governance.
- Bi-directional integration with leading catalog and governance tools for enhanced data quality and discovery.
Flexibility, Scalability, and Usability
- Flexible deployment options such as on-prem, PaaS, SaaS, and hybrid and multi-cloud environments.
- Out-of-the-box connectivity with major data warehouses, lakes, ETL tools, catalogs, and issue management platform.
- Designed to meet the diverse data quality needs of all personas, including data engineers, scientists, analysts, and business leaders.
What our customers say
"It is a leading solution when it comes to data quality and how to detect and resolve quality issues."
CEO
- Insurance (except health)
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
"Automation using AI helps data quality checks in no time. Convergence of Data Quality and Data Observability all in one platform."
Global Pre-Sales
- Software
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
"Modern Data Quality platform that provides a rich feature set around all the core capabilities expected of a data quality toolset."
Director of Product
- IT Services
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
"It's easy to integrate and very user friendly. It allows any new integrations and enhancements which makes this tool quite effective and flexible."
Presales Manager
- Software
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
"Data accuracy: Data quality platforms help in cleaning and standardizing data, ensuring accuracy and consistency."
Data Analyst
- Finance (non-banking)
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
"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."
CEO
- Miscellaneous
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
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Frequently Asked Questions
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What types of data can DQLabs’ data quality platform handle?
DQLabs is designed to manage various data types, including structured and unstructured data, across on-premises, hybrid, and cloud environments.
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Can I customize the data quality checks based on my organization's needs?
Yes, in addition to the out-of-the-box data quality rules for reliability, statistics, distribution, and frequency, DQLabs provides customizable no-code data quality checks for comprehensive data quality coverage. Users can configure the customizable data quality checks at the platform level or they can configure custom rules for specific datasets.
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Do you provide reporting and dashboards for data quality insights?
DQLabs provides Observe, Measure, and Discover dashboards to serve the specific data quality needs of different personas:
CDOs and leaders get high-level overviews of metrics and trends for strategic planning with Discover Dashboards. Observe Dashboards are designed for data engineers to provide insights into pipeline performance, alert prioritization, and issue management.
Analysts and data scientists can access Measure Dashboards to detect data anomalies and trends critical for analysis.
In addition to these out-of-the-box dashboards, DQLabs also provides customizable dashboards. These custom dashboards allow users to understand Data Quality in a way that makes sense as per their specific visualization requirements.
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Does DQLabs have GenAI capabilities for data quality?
As per our conversational data quality initiative, we have introduced DQLabs Copilot, powered by GenAI and semantics, to provide quick responses, facilitate item creation, and streamline navigation to product pages. The Copilot is context-aware, and offers responses based on the page you're on and the current session's data. This enables users to build, run, and view the results of new data quality measures, enhancing overall efficiency and improving the user experience.