Trust in your Marketing and Commerce data

Marketing and Commerce data

A client faced significant challenges managing extensive Marketing and Commerce datasets with a small data team. They implemented an automated solution for data ingestion, validation, and anomaly detection, which improved data quality, reduced team size, and speeded issue resolution times.  

What’s inside 

  • Data Quality Management: Overcome issues with data from various vendors and transformed BI views.  
  • High Volume Data Transfer: Efficiently handle daily data transfers exceeding 50TB.  
  • Multiple Data Sources: Integrate and manage data from over ten sources.  
  • On-Prem Solution Requirement: Implement an effective on-premises solution.  
  • Vendor Management: Streamline data management across multiple vendors.  

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Download Datasheet
Download Datasheet
Download Datasheet
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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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