Solutions | Data Quality Solution

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

Solutions Page_ETL QA

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

Solutions Page_DataGovernance

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

Soulution Page Graphic_Cloud_Migration_

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

Solutions Page_DataQuality Monitoring