These Enterprise data management software solutions provide enhanced data intelligence, data quality and modeling capabilities and even more powerful solutions for a comprehensive approach to managing, governing and leveraging data in complex enterprise environments, preparing organizations to meet the challenges of AI and data literacy.
A modern organization’s ability to effectively manage data plays a critical role in determining its future — not just in becoming a leader in its industry, but in staying in the race at all. As organizations race to harness the power of AI and advanced analytics, ensuring the high quality and provenance of the data they use to do so is more important than ever.
The 2023 State of Data Intelligence Report highlights data quality and visibility as the top challenges for businesses. Additionally, preliminary findings from the 2024 State of Data Intelligence Report indicate that data quality monitoring remains one of the Top 3 data intelligence-related challenges for organizations. Without reliable data quality, future AI initiatives will not be successful anytime soon, and AI’s potential cannot be fully realized.
Data
The new release of erwin (by Quest) addresses these challenges head-on by managing the entire lifecycle of related data. The solutions integrate cross-platform data observability with advanced data quality management, providing a seamless experience for data accessibility and governance across the enterprise. As a result, companies maintain a clear and consistent view of their data architectures, ensuring that data models are not just theoretical constructs, but essential, living components of a dynamic AI-ready data environment.
“Data is the lifeblood of modern businesses, and as AI becomes more deeply integrated into our business processes, every company must ask itself the critical question: ‘Is my data ready for AI?’” said Bharath Vasudevan, Vice President of Product and GTM at Quest Software. “The new erwin by Quest solutions provide a comprehensive approach to data management – from modeling to governance – and enable organizations to realize the full potential of their data, ensuring it is accurate, compliant and optimized for the advanced insights that AI can deliver.”
Tools
Version 14 of erwin Data Intelligence and erwin Data Modeler offers customers a range of important new capabilities that enable them to leverage the most advanced tools for data governance and data literacy:
- AI/ML-Driven Data Quality and Observation – With an enhanced data quality and monitoring framework powered by AI and machine learning, erwin Data Intelligence 14 continuously monitors data quality across platforms. This includes advanced anomaly detection for data sources, ensuring the data that powers AI models remains reliable and accurate. Its self-learning capabilities further enhance effectiveness by automatically adapting the framework to the organization’s changing needs and refining data quality measures based on real-world usage.
- Flexible implementation with erwin Data Intelligence Cloud – With the introduction of erwin Data Intelligence Cloud, organizations now have the flexibility to choose the deployment model that best fits their infrastructure—whether on-premises, private cloud, or via Quest’s Cloud-hosted solution on Microsoft Azure. This flexibility provides lower total cost of ownership and greater scalability without sacrificing functionality
- Streamlined data modeling and governance – erwin Data Modeler 14 delivers a range of new features to streamline the data modeling process, including enhanced integration with modern data platforms, improved UI customization, and advanced reverse engineering capabilities for NoSQL platforms. These enhancements make it easier for organizations to design, manage, and optimize their data architectures, and ensure that data models are robust and compliant.
- Improved integration and efficiency – erwin Data Modeler 14 offers improved support for NoSQL databases, optimized denormalization processes, and seamless integration with platforms such as PostgreSQL and Google BigQuery. These updates ensure more efficient data management and ensure that diverse data environments can be easily managed and optimized.
- User-friendly data quality monitoring – The new, easy-to-use data quality monitoring features in erwin Data Intelligence 14 provide a search and filter experience similar to that of online shopping websites. This allows users to explore data quality metrics via a customizable analytics dashboard. This makes it easier for data consumers to find, analyze, and act on valuable data, increasing trust in data across the organization and accelerating decision-making.