Data Quality Improvement for a Major University

Data Quality Major University

Discover how a leading private university in the United States improved its data validation processes with Datagaps. The university ensured data accuracy by leveraging ETL Validator and BI Validator, leading to significant cost savings and enhanced organizational reputation.  

What is inside 

  • Comprehensive Validation: Ensure new ETL processes match old ones with robust validation.  
  • Automated Testing: Develop 1500 automated test cases for precise validation.  
  • Data Quality Scoring: Improve data accuracy in the Student Information System and CRM.  
  • Continuous Validation: Maintain data accuracy with ongoing validation efforts.  

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Download Datasheet
Download Datasheet
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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