Pentaho Data Quality
Build Business Trust Through Data Quality
Businesses, regardless of size and industry, require a scalable framework to gain a deeper understanding of data, manage data quality, and support data governance. Pentaho Data Quality serves as a comprehensive data quality solution, offering a scalable framework and ecosystem for data classification, observability, quality standards compliance and governance. It enables business users to discover, observe, measure and deliver reliable and accurate data sets, facilitating innovative generative AI, improved daily operations and better decision-making.
- Continuous Data Quality Monitoring
- Optimize Data Workflows and Outcomes
- Understand More Data for Better Insights
Pentaho Data Quality Performance
80%
reduction in duplicates for a single version of truth
77%
fewer data quality issues in reporting and analytics
85%
decrease in manual data quality checks, asset mapping and upkeep efforts
Unlock Hidden Value with Intelligent Automation
Pentaho Data Quality plays a vital role in reviewing, understanding, and correcting large, diverse datasets effectively through intelligent automation.
Build Business Trust Through Data Quality
Data Reliability
Established centralized and reliable master data for consistent governance.
Data Modernization
Enhance accuracy and reliability during data ingestion and migration.
Mastering Transformation
Enable data discovery, observability, and valuable insights for decision- making.data curation.
Unlock Hidden Value with Intelligent Automation
Automation Saves Time and Reduces Errors
- Identifying data anomalies, errors, and outliers.
- Validate data using rules to detect problems.
- Cleanse data and conform it to standards.
- Use analytics models to predict data quality issues.
Data Sustainability
- Delivers automated data classification for security, privacy and compliance.
Orchestrate Data Pipelines Throughout their Lifecycles
- Reveal hidden data patterns and relationships.
- Organize and archive data by lifecycle stage.
- Profile data to understand quality and resolve issues.
- Measure data accuracy and completeness.
Monitor Quality, Protect Privacy and Report Utilization
- Continuously tracking data quality trends.
- Visualize and report data quality in real time.
- Anonymize personally identifiable information (PII).
- Restrict access by policy to authorized users only.
Continuous Data Quality Monitoring
- Automating data profiling, standardization, and monitoring underpin consistent decision-making and operational effectiveness with trustworthy data.
Understand More Data for Better Insights
- Establish uniform practices, reveal data patterns, and identify inconsistencies to enrich operational systems and customer data insights.
Customer Stories
By exposing and centralizing our metadata, our water resource managers and hydrologist spend less time looking for data. This means they have more time to manage water and analyze groundwater conditions, which is really what they are hired for
Lisa Williams
Manager, Office of Enterprise Data Management at State of Arizona’s Department of Water Resources
With Pentaho Data Catalog, we were able to fully automate and accelerate the cataloging and searchability of data to deliver game changing value to the business
Prakash Jagannathan
Ex Data Management Leader, Fannie Mae
Pentaho has changed the way we handle data. Its ease of use and the responsive support team have made it possible for us to improve our data management processes in ways we didn't think were possible. We've unlocked new use cases, like vendor management and metadata management, and we're constantly finding more.
Jesse Canada
Enterprise Data Governance & Management Lightbox