Data testing services

Data Testing & Analytics

Validate all your Structured and Unstructured Data

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Leading with
Proven Outcomes

63%

Reduction in regression costs 

45%

Faster time to market

67%

Reduction in QA Total Cost of Ownership (TCO)

>95%

Test coverage 

Data Testing That Ensures Accuracy, Quality, and Trust

With enterprises being heavily dependent on data to strategize their business, the need for robust testing becomes highly important.
Tx offers customized testing solutions to validate data integrity, quality, and validation techniques. We help businesses to leverage their data by identifying and rectifying discrepancies, data errors, and anomalies. Having well-structured and analytical data thus helps businesses achieve greater agility, efficiency, and competitiveness in the data-driven landscape

data testing and services

Leaders that trust us 

Farm Credit Bank of Texas
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The CIO/CTO’s Guide to Data Testing for Smarter Business Decisions

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  • Speak directly with a Quality Engineering Director.

  • Get solutions tailored to your unique testing challenges.

  • Identify AI driven data testing opportunities and build a roadmap for success.

    Data Testing
    & Analytics

    Challenges & Solutions

    Challenges

    • IconQuality of data across the application lifecycle
    • IconIncompatibilities between different systems leading to data silos and inconsistent data sets
    • IconCompliance with various data protection regulations (such as GDPR, HIPAA)
    • IconNew tools and processes implementation for digital assurance
    • IconAccuracy and consistency of data analytics outputs

    Solutions

    • IconComprehensive data quality checks throughout the STLC to deliver completeness, accuracy and consistency 
    • IconRobust data integration tools to cover the gap between multiple systems, and eliminate data silos 
    • IconStringent data protection, complying with the regulations like GDPR, HIPAA, and other industry-specific standards
    • IconAdvanced next-gen technologies, like digital assurance tools and inhouse frameworks to streamline data testing processes 
    • IconContinuous validation and testing processes to ensure that provide reliable and actionable insights to analytics models  

    Our Data Testing Approach

    Data analytics and testing services

    Our Data Testing and Analytics Services

    Data Validation Testing

    Data Validation testing services

    We ensure accurate, complete, and consistent data across various databases and data sources. Our service makes sure that the data transformations, migrations, and integrations meet your specified requirements.

    ETL Testing

    ETL testing services

    We undertake the validation of Extract, Transform, Load (ETL) processes, to ensure that data is correctly extracted from source systems, transformed accurately, and loaded properly into the target system without data loss or corruption.

    Report Testing

    Report testing

    We use our report testing framework like Tx-Insights, to cover data sources validation, data extraction processes, and the overall presentation of data in reports. Our team of experts performs thorough testing of report layouts, formats, and functionalities to meet your business requirements and offer clear and actionable insights

    Performance Testing

    Performance testing services

    With Data Warehousing in focus, we evaluate the performance and scalability of data warehousing solutions. Our services are designed to ensure handling of large volumes of data and delivering timely insights without performance degradation.

    Business Intelligence

    Business Intelligence

    We design our data and analytics testing services to deliver reliability, accuracy, and performance of your BI solutions. Our team of experts covers data validation, ETL (Extract, Transform, Load) testing, dashboard testing and data warehouse testing. We use advanced testing tools to validate consistency, integrity, calculations, and aggregations.

    Data Quality Testing

    Data Quality Testing

    We assess and validate the quality of data by examining for duplicates, missing values, and inaccuracies. We ensure reliability and trustworthiness of the data used for analysis and decision-making.


    Our Technology Partner

    • postman logo
    • Microsoft Azure logo
    • Django

    Why
    Choose Tx

    • Data testing extensive experience

      Extensive experience

      We do the testing of large complex data warehouse and business intelligence implementations.

    • Customized Approach

      Customized approach

      We assure you the best quality and output for automation of data warehouse verification process 

    • End-to-end service offerings

      For data warehouse and business intelligence, our services include data validation, performance, and security of data warehouse and business intelligence 

    • Highly Skilled Professionals

      Highly skilled professionals

      Our team of experts are known for designing test strategy and project execution

    FAQ's

    What is data testing, and why is it important?
    • Data testing is the process of verifying and validating data to ensure its accuracy, consistency, and reliability across different stages of data processing. It involves checking data integrity, quality, completeness, and compliance with business rules.

    What is an example of data testing?
    • A retail e-commerce platform tests customer data for accuracy and consistency. It checks:

      1. Completeness (mandatory fields filled)

      2. Accuracy (valid email formats)

      3. Integrity (consistent records)

      4. Consistency (standardized addresses)

      5. Security (data encryption)

      This ensures seamless operations.

    What is Data Testing Tool?
    • A data testing tool is software that helps verify data accuracy, consistency, integrity, and security across databases, data warehouses, and applications. These tools automate data validation, ETL (Extract, Transform, Load) testing, and quality checks.

    What is BDD in testing?
    • BDD focuses on collaboration using Given-When-Then scenarios. It improves clarity, test coverage, and automation. Tools like Cucumber, SpecFlow help align testing with business goals.