Data Quality Governance Automations

Siloed and disparate systems prevent enterprises from fully utilizing their data to improve competitive advantage, cost savings, revenue-generating operations, and risk management. Traditional data mastering solutions and those developed in-house aren’t up to the task as they are less flexible, require extensive rule writing, and struggle to scale as the volume of data increases. Data Quality Governance Automations on AWS leverage the cloud-native capabilities of AWS along with machine learning (ML) driven automation, allowing organizations to achieve data-driven business insights faster. These solutions combine automations, human feedback, and limited rules to quickly and easily publish accurate and up-to-date data sets. With an open architecture and a robust set of APIs, organizations these solutions integrate easily with legacy and future data pipelines from various sources, like ERPs and CRMs, and can also power downstream applications like visualization tools and business applications.