SAS Data Management and erwin Data Intelligence are leading solutions in the data management sector. SAS Data Management appears to lean towards superior user-friendly tools and integration features, whereas erwin Data Intelligence stands out with advanced data lineage and metadata management capabilities.
Features: SAS Data Management offers robust data integration, quality, and transformation tools, significantly enhancing data governance. Its automation and flexibility are praised for reliability in varied data environments. erwin Data Intelligence provides exceptional data lineage and metadata management with capabilities like Smart Data Connectors and visual tools for better data mapping and management.
Room for Improvement: SAS Data Management could address high costs and a complex licensing model. Difficulties with non-ETL use cases and complicated database connections are noted. Interface intuitiveness and connectivity simplification need improvement. erwin Data Intelligence might enhance its user interface and integration process handling, especially with complex datasets. Improvements in automation and metadata management, alongside Smart Data Connectors, are recommended.
Ease of Deployment and Customer Service: SAS Data Management offers robust support but can be complex in hybrid environments. Although cloud compatibility aids access, customer service could improve. erwin Data Intelligence accommodates diverse deployment models but faces complex implementation challenges. Customer service is responsive, though technical support quality varies.
Pricing and ROI: SAS Data Management is often viewed as costly, yet its long-term ROI is seen as high due to data accuracy and storage cost reduction. erwin Data Intelligence provides competitive pricing, aligning with enterprise needs through a subscription model offering cost efficiency, although extra features may add costs.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
From my experience, SAS Data Management is an expensive tool.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.
Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.
What are the main features of Erwin Data Intelligence?In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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