The Six Critical Components of Data Testing

Components of Data Testing

Effective data testing in modern enterprises requires six critical components: extensibility, advanced API components, AI-based observability, scalability, integration with DevOps platforms, and RPA. These components ensure thorough validation at all stages, facilitating reliable decision-making and efficient data management.  

 What is inside 

  • Comprehensive Data Validation: Ensure data integrity at all stages from ingestion to analytics.  
  • Advanced Technologies: Enhance data testing capabilities with AI, APIs, and RPA.  
  • Integration and Extensibility: Seamlessly integrate with DevOps and extend functionalities as needed.  
  • User-Friendly Solutions: Democratize data testing with tools that bridge technical complexity and business usability.  

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Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
Products

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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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