Test Data Management Services Company

Data – The key for successful Digital Transformation Outcomes

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What We Do

Test Data Management

Ticking Minds has deep expertise of delivering 5+ data management engagements for large digital transformation initiatives.


Data - Profiling & Identification


Data - Generation, Population


Data - Validity, Relevance, Consistency


Data - Provisioning, Reporting & Analysis, Maintenance

Our Process

Test Data Framework

We leverage our test data framework for data provisioning with the right strategy post our discussions with business SME, solution architects, and technical architects covering every aspect of data flow across different entity lifecycle.

Key factors for automated data provisioning in successful digital transformation initiatives are

Right strategy for data provisioning with key personnel with the required skills.


Automated data provisioning solution that would cater to quick provisioning of data across environments.


Absolute compliance to mandatory data privacy laws.

Test Data Management Expertise

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Large Digital Transformation Initiatives
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Collaborations (JMeter, DB, APIs orchestration)
100 TB+
Data managed

Industry Challenge

The accelerated digital transformation initiatives demand best practices that support rigorous and continuous testing to ensure successful outcomes from digital transformation initiatives. Provisioning the good quality in the right data format at the right time has a huge say in the digital transformation journey. Unless high quality data can be provisioned in the right format and size, progress in such initiatives is going to be slow. In many cases, data quality determines the transformation initiative outcome.


Test data management requires skills like understanding business, user requirements, strategic view to data provisioning mechanisms – synthetic, production extraction, subsetting, masking, etc, understanding the technical architecture, components, data flows, underlying database schemas – all play out to be crucial role in the test data management.


Often test teams lack access to data for their testing needs. DB teams often provision the data in non-automated way, which forces the testing teams to push the testing to later cycles/sprints. This results in unearthing defects late in the life cycle, thereby increasing the risk of such digital transformation initiatives. The lack of emphasis on quality of data often derails such exercises.


Not all engagements can afford synthetic data generation mechanism. Quick turnaround time requires to adopt production data extraction, subsetting and masking approaches. Often the lack of understanding the relevance to compliance can lead to sensitive being used in testing exercises, potentially leading to huge penalties associated with non-compliance.

Case Studies
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