Validatar Is Designed With You In Mind
If you are a data professional, we have designed key attributes and features into Validatar for your unique data quality challenges.
Business Leader
Making informed decisions is more important than ever. Validatar gives leaders confidence the data they are using is trustworthy.
Data Stewards
Proactive management of data is critical to building trust. Validatar gives Data Stewards the tools to monitor and govern data assets.
Data Developers
Consistently testing the data you deliver to the organization is critical. Validatar automates data testing to ensure Data Developers can deliver accurate and trusted data faster.
Data Consumer
Confidence in the data you are analyzing is important. Validatar gives Data Consumers the visibility to know and trust the data assets available to them.
Use Cases
Data Warehouse ETL Dev QA
Integrating consistent testing of data into the development and ongoing execution of ETL processes is critical for best in class data quality management and building trust with data users.
Validatar enables organizations to develop and execute a comprehensive data test plan to validate and monitor their ETL processes are running properly by:
- Leveraging data discovery and data profiling features to identify and validate metadata
- Create and schedule a series of data tests to measure ETL runs
- Establish ETL process test metrics and variance thresholds
- Automatically be alerted when variance thresholds are not met
- Store and track trends of key metrics and overall data quality reporting
- Increase Data Quality transparency through shareable reporting
Data Governance
Successful Data Governance programs are about maximizing organizational value, minimizing risk, managing regulatory compliance and protecting an organization’s reputation.
Validatar provides organizations with the ability to validate and manage data quality metrics across all data sources through:
- Metadata Cataloging
- Data Discovery, Profiling & Classification
- Data Quality Controls
- Data Integrity Checks
Cloud Migration
Ensuring data quality through testing is one of the most critical steps for any Cloud Migration project.
Validatar enables organizations to develop and execute a comprehensive data test plan for their Cloud Migration project with ease and efficiency by:
- Enabling developers to test as they go; mitigating downstream errors
- Generating tests that compare both counts and detailed data at a table and column level
- Scheduling and executing tests regularly through the migration project to show progress and measure data quality metrics
Data Quality Monitoring
Data Quality, a key driver of enterprise value, is best measured by setting a baseline and tracking improvement over time.
Validatar enables organizations to consistently measure and monitor the quality of all their key data assets by:
- Tagging key data quality metrics and setting variance thresholds
- Customize threshold variance alert notifications
- Store and track trends of key metrics and overall data quality reporting
- Quickly identify areas in need of improvement
- Increase Data Quality transparency through shareable reporting