And your data

Modern DataOps and ModelOps incorporate well-defined processes and methods for building, changing, testing, deploying, running, and tracking new and modified data, analytics, and AI/ML processes. Our Data and Analytics Test Automation Services support Data, Analytics, and AI/ML engineering teams.

Ensure better, faster decisions

Our Data and Analytics Test Automation services enable DataOps for data engineering and analytics, and ModelOps for AI and decision models.

DataOps Testing

Our PAQman test framework uses Python-based modules to test data models, metadata, data types, formats, field mapping, and referential integrities. It also validates source/target, outbound and downstream data, data quality, business rule, ETL logic, and job load performance.

Analytics DataOps Testing

We conduct analytics testing for end-user adaptability, business rule validation, and metric effectiveness verification.

ModelOps Testing

Our black-box smoke tests include verifying model metrics and acceptable standard deviation to produce a model quality report.

Featured insights

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Events

25/06/2021

Susheel Kumar Yadav Presents “Testing...

Infogain's Susheel Yadav talk about the technicalities of testing microservices in Containers at World Test Engineering Summit

News

11/03/2021

Quality Requires Testing, says Ramendeep...

Benefits of test automation, now and in the future.

Blog

29/01/2021

How to Overcome Platform Quality...

The pace of application delivery demands have accelerated, enterprises continue to deal with a range of platform quality and reliability challenges with software testing programs.

Press Release

23/09/2020

Infogain Partners with Appvance to...

The new partnership will help global businesses tap into the disruptive power of AI-led quality engineering services and strengthen Infogain’s PAQman solutions