Data Observability in your Tableau Reports

Data Observability in your Tableau

Before emphasizing observability and anomaly detection, validate Tableau reports extensively using TM’s tools and test plans. Validate reports against datasets and business rules during upgrades to ensure reliable and accurate Tableau reports.  

What’s inside

  • Validation Against Datasets and Reports: Ensure reports are accurate by comparing them with source datasets and other reports. 
  • Business and Logical Rules: Ensure compliance with established rules and logical conditions. 
  • Upgrades and Regression Tests: Maintain consistency with thorough validation during upgrades. 
  • Metadata and Aesthetics Standardization: Ensure uniform metadata and aesthetic standards. 
  • Performance and Security Optimization: Optimize report performance and secure access.  

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Download Datasheet
Download Datasheet

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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