Hyper-automate and accelerate end-to-end enterprise data testing
Overview
Data is growing at an unprecedented pace in the age of cloud and AI. Traditional technologies are unable to keep pace with this data explosion. To deal with this, global enterprises are increasingly turning to cloud-based data sources. However, this transition to the cloud introduces several challenges, such as:
- Complex data validation at every checkpoint in cloud
- Data security in non-production environments
- Regulatory compliance
- Data masking and provisioning in cloud
- Quality of data migrated to software-as-a-service product in cloud
- Mining the right quality of data for operational activities and insights
Infosys Data and Analytics Testing, part of Infosys Topaz, is an end-to-end data quality engineering (QE) offering. It helps enterprises address the challenges of cloud-based data by providing focused solutions for all data-related use cases. It establishes robust processes and efficient data validation strategies, employing the right set of tools to achieve hyperautomation. The offering leverages Infosys' intellectual property (IP) and open-source tools, backed by an AI-first data quality strategy. This approach helps uncover data quality issues early and accelerate the entire quality engineering lifecycle.
Infosys Data and Analytics Testing encompasses the following:
Looking for a next-gen Data Testing solution?
talk to our expertsInfosys Data and Analytics Testing leverages cloud-native and on-premises solutions.
IP tools like Infosys Data Quality Engineering Platform and Infosys Enterprise Data Privacy Suite are powered by:
- Cognitive frameworks
- Machine learning led QA accelerators
- Mature process repository
Enterprises achieve faster time to market with 100% data coverage and 40% effort reduction, leading to better software quality.
Challenges & Solutions
