Quest Software, a global leader in systems management, is announcing the latest version of erwin Data Intelligence and erwin Data Modeler, forwarding comprehensive, end-to-end data lifecycle management that prepares enterprises for the challenges of AI and other technological advancements. Offering enhanced data intelligence, quality, and modeling capabilities, enterprises benefit from a consistent view of their data architectures while maintaining high quality, reliable data.
As enterprises move toward investments in AI and advanced analytics, it is becoming increasingly clear that strong data quality will be the determiner of these initiatives’ success. To help organizations meet the demands of these initiatives, Quest’s latest release merges the powers of cross-platform data observability with advanced data quality management to cultivate dynamic, AI-ready data environments, according to the company.
"Data is the lifeblood of modern enterprises, and as AI becomes more ingrained in our business processes, every enterprise must confront the critical question: 'Is my data AI-ready?'" said Bharath Vasudevan, VP of product at Quest Software. "The new Quest solutions offer a comprehensive approach to data management, from modeling to governance, and empower organizations to unlock the full potential of their data, ensuring it is accurate, compliant, and optimized for the advanced insights AI can deliver.”
erwin Data Intelligence 14 and erwin Data Modeler 14 bring a myriad of improvements that empower enterprises to maintain a solid foundation of data governance to support the latest and greatest AI innovations. These enhancements include:
- Enhanced data quality and observability framework for erwin Data Intelligence 14 that delivers continuous monitoring of data health across platforms, including advanced anomaly detection for critical data sources and self-learning capabilities that automatically evolve the framework of enterprise needs
- erwin Data Intelligence Cloud, a new solution offering a flexible deployment model that allows enterprises to choose the deployment that best suits their infrastructure—whether on-prem, privately hosted, or with Quest’s cloud-hosted solution on Microsoft Azure—driving low TCO and greater scalability
- Streamlined data modeling and governance for erwin Data Modeler 14 that deliver improved integration with modern data platforms, enhanced UI customization, and advanced reverse engineering capabilities for NoSQL platforms
- Enhanced integration and efficiency with support for NoSQL databases on erwin Data Modeler, improving denormalization processes and delivering seamless integration with platforms like PostgreSQL and Google BigQuery
- User-friendly data quality discovery in erwin Data Intelligence 14 through an intuitive search and filter experience that allows users to explore data quality metrics through a customizable analytics dashboard
“At the core of this offering is our commitment to transforming data into strategic assets. By providing powerful tools for data modeling and intelligence and adhering to our rigorous 'model to marketplace' approach, Quest enables enterprises to ensure their data is well-structured, compliant, and readily accessible and actionable across the organization,” added Vasudevan.
To learn more about Quest’s latest updates, please visit https://www.quest.com/.