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Test-Data-management-services

Flawless Testing Starts with Flawless Data

Did you know that poor data quality is a leading cause of software project failures? With Indium’s Test Data Management (TDM) services, you get the right data every time—accurate, secure, and relevant.

Our expert team and advanced tools simplify data creation, management, and maintenance, ensuring seamless testing, improved application integrity, and top-tier performance.

Test Data Management (TDM) Services Powering Precision in Testing

Test Data Management Services
Test Data Provisioning

Synthetic Data Generation—Generate high-fidelity synthetic data to simulate real-world business scenarios and support performance testing at scale.

High-Volume Data Creation—Rapidly generate massive test datasets to stress-test applications under peak loads and extreme conditions.

Test Data Engineering
Custom Test Data Solutions
Test Data Management Portal
Data Integration & Synchronization
Performance Testing Support
Data Analytics & Reporting
Consulting & Support
Data Privacy and Compliance

The TDM Process
Precision-Driven Data Lifecycle Management

Stakeholder Engagement

Stakeholder Engagement

Align project goals with enterprise-wide quality engineering principles to maximize testing efficiency.

Needs Assessment

Needs Assessment

Assess data requirements with a focus on accuracy, scalability, and compliance with industry standards.

Data Sourcing

Data Sourcing

Identify and classify data sources to ensure comprehensive test coverage.

Data Production and Masking

Data Production and Masking

Generate test data while applying advanced masking techniques to balance security with accuracy.

Environment Provisioning

Environment Provisioning

Deploy test data across multiple environments while maintaining quality and consistency.

Data Verification

Data Verification

Validate data accuracy and integrity to ensure error-free test execution.

Testing Execution

Testing Execution

Support functional, performance, and security testing with robust, production-like test data.

Data Management

Data Management

Continuously monitor and optimize test data to maintain integrity throughout the software development lifecycle.

Our Approach
Data-Driven Testing Excellence

Source Database

Source Database

Extract structured and unstructured data snapshots from production environments to create accurate test datasets.

Goal-Centric Quality Strategy

Goal-Centric Quality Strategy

Define and implement a test data strategy aligned with business objectives, ensuring reliable test outcomes.

Test Data Management

Test Data Management

Leverage TDM tools for data masking, subsetting, and synthetic data generation. DGen accelerates structured data creation for enterprise applications, including CS Portal integrations.

Self-Service Portal

Self-Service Portal

Enable autonomous test data management for QA teams, reducing dependency on database administrators.

DB Virtual Copies

DB Virtual Copies

Create isolated database instances for parallel testing without impacting production systems.

Applications

Applications

Integrate test data seamlessly with application environments to facilitate comprehensive end-to-end testing.

The Right Data, The Right Way
Every Test, Every Time

Accelerated Time to Market

Minimize testing bottlenecks with efficient data provisioning, reducing time-to-release for software products.

Enhanced Test Coverage

Enhanced Test Coverage

Expand test case scenarios with synthetic data generation, ensuring robustness across edge cases.

Reduced Costs

Reduced Costs

Optimize infrastructure and storage consumption through intelligent test data management, lowering operational expenses.

Data Privacy Compliance

Data Privacy Compliance

Protect sensitive information with enterprise-grade data masking and anonymization, ensuring compliance with global regulations.

Improved Collaboration

Improved Collaboration

Enhance team efficiency with a centralized, self-service test data management platform, minimizing dependencies.

Enhanced Testing Efficiency

Enhanced Testing Efficiency

Automate data provisioning, synchronization, and validation to improve testing workflows and maximize productivity.

Success Stories

Real Stories, Real Impact

Indium’s Scalable ETL Pipeline: Transformed Business Operations for an African Retail Supply Chain Leader

Indium’s Scalable ETL Pipeline: Transformed Business Operations for an African Retail Supply Chain Leader

Indium built a scalable ETL pipeline using Google Cloud Platform, BigQuery, Apache Beam, and Python, cutting ETL runtimes by 60%, boosting efficiency by 20%, and reducing delivery costs by up to 20%.  

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Streamlined Success: Indium Enabled 5X Faster Test Automation for an OTT Platform

Streamlined Success: Indium Enabled 5X Faster Test Automation for an OTT Platform

Indium revolutionized the client's OTT platform testing by leveraging uphoriX, enabling 5X faster automation, reducing 80% of manual effort, and achieving 100% retest effort savings.  

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Fresh Takes and Insights

Decoding trends, one byte of knowledge at a time.

Data Visualization Testing

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How does Data Lakes Testing differ from Data Warehouses Testing?

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AI-Led Assurance: Navigating the Complexities of Quality

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Frequently Asked Questions

What is the impact of TDM on quality engineering?

Integrating Test Data Management (TDM) services enhances software quality by ensuring comprehensive defect detection, optimizing data accuracy, and improving overall system reliability and performance through controlled, consistent testing environments.

How do you anonymize data without losing its testing utility?

We utilize advanced anonymization techniques such as tokenization, data masking, and encryption, ensuring that the structural integrity of the data is maintained. This allows us to retain relevant patterns and relationships for effective and realistic testing while safeguarding sensitive information.

How do you keep test data consistent across multiple testing environments?

We use automated data synchronization and provisioning tools to ensure that test data remains consistent across development, QA, and production environments. This enables seamless testing and minimizes discrepancies in different stages of the lifecycle.

How do you ensure test data security in cloud environments?

Test data security in cloud environments is ensured by implementing encryption, stringent access controls, and adherence to cloud-specific security protocols. Data masking and anonymization techniques are also applied to further safeguard sensitive information.

What are the key compliance considerations in TDM?

Key compliance considerations include strict adherence to global data privacy regulations (e.g., GDPR, HIPAA), ensuring data masking and anonymization processes meet regulatory standards, and maintaining comprehensive audit trails to demonstrate compliance during testing activities.

How does synthetic data generation contribute to TDM?

Synthetic data generation allows the creation of large-scale, high-quality test data when real-world data is either unavailable or sensitive. This enhances test coverage and efficiency by simulating realistic scenarios, ensuring the thorough testing of applications without compromising privacy or compliance.

How do you handle the challenges of managing large volumes of test data?

We leverage robust data management tools, automated provisioning platforms, and streamlined data workflows to handle large volumes of test data efficiently. This ensures the smooth generation, handling, and maintenance of high-quality test datasets without compromising performance or accuracy.

How do you optimize TDM processes for agile development environments?

We align TDM processes with sprint cycles in agile environments by providing rapid, on-demand test data. Our tools support the iterative nature of agile development, enabling quick provisioning, data masking, and seamless integration into the continuous testing workflows to accelerate development cycles.

How do we know if Indium’s TDM services are right for us?

Indium’s TDM services can enhance your testing efforts in several critical areas. Consider our services if your organization faces challenges in any of the following:

Managing Large Volumes of Test Data: We automate the generation and provisioning of large datasets for extensive testing.

Ensuring Data Consistency Across Environments: Our solutions ensure uniform and accurate test data across all environments, including development, QA, and production.

Addressing Data Privacy and Security: We offer advanced data de-identification and security protocols to protect sensitive data.

Reducing Manual Test Data Preparation: Our automation capabilities eliminate manual test data creation and management efforts.

Handling Complex Data Scenarios: We generate synthetic data that accurately simulate diverse business and application scenarios.

Supporting Performance Testing Needs: Our services provide high-volume test data to simulate peak load and stress-testing conditions.

Integrating Test Data with Other Systems: We offer seamless integration for data synchronization and transfer across various systems to ensure smooth data flow.

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