Data and Analytics Testing Services

Empowering Your Business with Reliable Data

Empowering Your Business
with Reliable Data

Data driven organizations are now 23x more likely to acquire customers, 6x likely to retain customers, and 19x more likely to be profitable. At Indium, our Data and analytics testing services ensure that your data processes—from extraction and transformation to analysis and reporting—perform flawlessly, providing a solid foundation for informed decision-making.

If any of these challenges sound familiar, you're in the right place

Seeking to maintain data quality and integrity in your analytical processes.

Data Quality Validation: We ensure that your data is accurate, consistent, and reliable, forming the foundation for trustworthy analytics.

Businesses leveraging complex data integration and transformation pipelines to power data warehouses and analytics platforms.

ETL Testing: We validate data extraction, transformation, and loading processes to ensure seamless data integration.

Organizations transitioning between systems or undergoing upgrades need to ensure data consistency throughout the process.

Data Migration Testing: We safeguard data integrity during system upgrades or migrations, ensuring accurate and complete data transfer.

Enterprise dealing with vast amounts of varied data, requiring efficient data processing and analysis.

Big Data Testing: We manage and validate large, complex data environments, ensuring scalability and high-performance analytics.

Why Choose Us?

Deep Industry Expertise

Leverage our extensive experience in Data Assurance across various industries for tailored solutions.

Innovative In-House Tools

Utilize our proprietary tools like iDAF to enhance the precision and efficiency of your data testing.

Comprehensive Testing Solutions

Benefit from end-to-end testing that ensures your data meets the highest quality standards.

Customized Approach

Receive solutions tailored to your specific data requirements and business goals.

Commitment to Excellence

Experience rigorous testing practices that reduce error detection time by 70% and enable quicker decision-making.

Scalability and Flexibility

Enjoy solutions that grow with your business and adapt to evolving needs.

Our

Optimizing Analytics Quality Using Big Data and Database Testing Framework

Indium’s QA framework secured real-time data for a semiconductor manufacturer’s IoT analytics, boosting equipment monitoring and predictive maintenance. Read More »

Qa validations in a data segregation framework for a healthcare administration ecosystem

Indium’s QA ensured data security and integrity during a healthcare platform upgrade, guaranteeing 100% quality coverage. Read More »

Enhancing customer insights: data-centric qa drives retail and e-commerce success for client's 360-degree view

Indium’s data-centric QA transformed siloed retail data into actionable insights, streamlining ETL processes and driving customer-centric strategies. Read More »

Tools and technologies

Meet iDAF – Your Data Assurance Framework

Our iDAF (Data Assurance Framework) is a comprehensive solution designed to ensure the accuracy, completeness, and consistency of your data. By analyzing both target and source datasets in real time, iDAF provides valuable insights into data quality issues. With its graphical dashboard, you can quickly identify and address inconsistencies, making informed decisions to improve your data-driven initiatives.

Hear from our experts!

Whitepaper

Discover why data-centric testing is essential in today’s fast-paced data landscape. Learn about Data Mesh, Data Lakes, Data Warehouse , and the pivotal role of Dta Migration to the cloud

FAQs

Which projects require Data and Analytics testing?

Data testing is essential for projects involving data warehousing, migration, BI & analytics, integration, regulatory compliance, application upgrades, conversion, and big data.

What are the benefits of Data and Analytics testing?

Data testing ensures accuracy, consistency, and quality, mitigates risks, supports compliance, optimizes performance, and enables informed decision-making.

What are the challenges of using licensing tools?

Licensing tools can be complex to integrate, require SQL skills, have a steep learning curve, be difficult to debug, and have high licensing costs.

Contact us

Drop a message to our team to see how we can help you

Project start date * Immediate1-3 months6-12 months

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