Vega IT and Datagaps partner to help organisations build trusted data foundations for digital and AI transformation
Vega IT and Datagaps have announced a strategic partnership designed to help organisations accelerate complex data transformation initiatives while improving the accuracy, reliability, and governance of their data.
As organisations continue to modernise legacy systems, migrate to cloud platforms, and adopt advanced analytics and AI solutions, data quality has become a critical factor for success. However, ensuring that data remains accurate, complete, and consistent across increasingly complex environments is still often a manual, time-consuming process.
Through this partnership, Vega IT and Datagaps combine their expertise across every stage of the data transformation journey. Together, we provide an end-to-end approach that goes beyond successful implementation.
“Today, organisations are under increasing pressure to modernise faster, adopt AI, and become more data-driven. But innovation can only happen when companies trust the data behind their decisions. Through our partnership with Datagaps, we combine engineering excellence with automated data assurance capabilities to help organisations transform with greater speed, accuracy, and confidence,” said Stanislav Grujic, Co-CTO & Executive Partner at Vega IT.
By combining engineering expertise with continuous validation and monitoring, organisations gain clear visibility into data quality before, during, and after transformation – reducing migration risks, improving compliance readiness, and building confidence in business-critical insights.
Vega IT helps organisations assess and modernise complex data environments, from analysing legacy architectures and identifying technical debt to defining migration strategies, designing target architectures, and executing transformation initiatives.
Datagaps strengthens this process with automated data assurance capabilities, helping teams validate data quality, automate source-to-target reconciliation, test ETL/ELT pipelines, and ensure the accuracy of business intelligence reports.
“Modern data transformation is ultimately a business confidence challenge. As enterprises modernise platforms, migrate to the cloud, and prepare for AI, leaders need clear evidence that their data remains accurate, complete, and trusted. As a Gartner-listed provider in DataOps and Data observability market guides, Datagaps brings automated data assurance across migration, ETL/ELT, and BI environments. Through our partnership with Vega IT, we are combining engineering depth with trusted data validation to help organisations reduce risk, improve audit readiness, and make decisions with confidence,” said Narendar Yalamanchilli, Founder & CEO of Datagaps.
Across different data transformation scenarios, automated validation has shown significant improvements compared to traditional approaches, including up to 70% validation cycle reduction and 69% time savings in ETL testing, data migration, and BI validation processes, as well as substantial reductions in manual testing costs.
These capabilities are especially valuable for organisations in highly regulated industries such as financial services, insurance, and healthcare, where data accuracy, compliance, and auditability are essential. Automated reconciliation reports, exception logs, and validation evidence help business teams, technical teams, and auditors confirm that critical data remains accurate throughout every stage of transformation.
