Qualitest (https://www.qualitestgroup.com), the world’s leading AI-powered quality engineering company, announces today that it has partnered with DataGaps Inc. (https://www.datagaps.com), the leading provider of codeless AI automation solutions for enterprise data platforms, enabling customers to achieve 100% data reconciliation of all data flows and migrations. Furthermore, Qualitest will monitor the data quality of source systems to improve trust in client business decisions, highlight data anomalies and variations through data observability and automated verification, and validate business intelligence reports on behalf of its valued customers.
Data volumes are growing exponentially. Last year, market research and intelligence firm IDC predicted that the world will create as much data in the next three years as it did in the previous 30 years. With various IoT ecosystems implemented, the world is producing 2.5 quintillion bytes of data every single day. MIT Sloan predicts that firms may be losing up to 25% of revenue globally due to poor quality data and a lack of automated controls for data reconciliation.
To close this gap, DataGaps and Qualitest are taking a “shift-left” approach to data reconciliation by implementing automated DevOps for data pipelines. This approach integrates the codeless automation of data validation across all states of digital data, including data at the source, data in motion, data at rest, and data in consumption. Through this partnership, both organizations aim to bring Data Quality at Speed for their customers, validating 100% of the enterprise data lifecycle up to 1000X faster than current manual test methodologies. DataGaps’ DataOps suite enables these objectives by integrating with 50+ data sources such as on-premises databases, cloud data lakes/lakehouses, APIs, file systems and data integration, and BI engines. Through this, DataGaps is able to deliver a transparent view of data quality trends for clients and improve trust in data.
“Qualitest’s breadth of experience in delivering data quality, reconciliation, and test data management solutions is remarkable,” said Narendar Yalamanchilli, Co-Founder at DataGaps.“Naturally, these attractive factors led us to partner with Qualitest to bring a unified approach of DevOps for data solutions to the market.”
“By partnering with DataGaps, we will be able to offer our clients an innovative solution to monitor and validate data quality,” said Anbu Muppidathi, Qualitest President and CEO. “The automation of data quality reconciliation was the missing puzzle in truly achieving DevOps success, not just for applications and interfaces, but for the underlying ecosystem of data as well. Firms no longer have to struggle with the pain points brought about by manual processes or legacy technology. They can look beyond solving problems and instead think about unlocking greater operational efficiency and agility.”
About Qualitest
Founded in 1997, Qualitest offers a wide range of AI-powered quality engineering solutions designed to mitigate the business risk associated with digital adoption. Qualitest achieves this by deploying engagement models tailored to the precise quality engineering needs of technology platforms in the financial services, telecom, healthcare, insurance, tech, media, and utility industries. It has operations in the US, UK, Germany, Romania, Israel, Argentina, Mexico, and Portugal and serves over 250 blue-chip customers worldwide. Qualitest is majority-owned by international private equity group Bridgepoint, which acquired the company in October 2019 via its €5.7 billion flagship fund, BE VI. To learn more about Qualitest, visit https://www.qualitestgroup.com.
About DataGaps
DataGaps Inc. was founded in 2010 to build trust in enterprise data and reports, specializing in delivering software for ETL Data Automation, Data Synchronization, Data Quality, Data Transformation, Test Data Generation, and BI Test Automation. DataGaps is an innovative company focused on providing the highest customer satisfaction. For more information, please visit https://www.datagaps.com.
