There's a better way for
catching data quality errors!

Get the most professional tools to validate enterprise data and maintain a high level of information quality.

Hundreds of customers trust in BiG EVAL to gain the maximum value from their most critical asset - their enterprise data

Your company is using information or data permanently for driving business processes or to make important decisions.

If either the information itself is of bad quality or the data processing is erroneous, the results have no business value or may harm your business in different ways.

Data Quality Management is the process of assuring the highest possible quality of information or data.

Whereas Data Test Automation is the process of assuring the highest possible implementation quality of data processing systems. 

BiG EVAL's mission is to provide data quality solutions for the whole life cycle of data to turn the principle into value in / value out
No limit testing!

Value in - Value out

Latest Articles from the experts

Data Testautomation

Data Warehouse Test Automation 101: What Are Data Integration Loads?

Data Warehouse Test Automation 101: What Are Data Integration Loads?
Data Quality Management

Good Housekeeping: Using Data Validation Tools for Data Cleanup

Good Housekeeping: Using Data Validation Tools for Data Cleanup
Data Quality Management, Data Testautomation

Data Catalog: What It Is and Why You Need One

Data Catalog: What It Is and Why You Need One
Data Quality Management

How to build an operational data quality process

How to build an operational data quality process
Data Quality Management, Data Testautomation

Build or Buy a Data Quality Solution? 5 Considerations to make a Decision

Build or Buy a Data Quality Solution? 5 Considerations to make a Decision
Data Quality Management, Data Testautomation

How to create a DataOps process for Data Quality and Data Testing

How to create a DataOps process for Data Quality and Data Testing
Data Quality Management, Data Testautomation

Data Validation: What, How, Why?

Data Validation: What, How, Why?
Data Quality Management

The Power of Data Preparation

The Power of Data Preparation
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