Leading organizations worldwide are relying on erwin by Quest from model to marketplace to both advance data maturity and make sound data governance truly achievable.
Together, erwin Data Modeler by Quest and erwin Data Intelligence by Quest help companies lay a sound foundation for data governance when designing data architecture, managing data-related risks and expanding the discovery and use of high-value, trusted data more broadly across enterprises.
A customizable data governance framework, out-of-the-box glossaries and templates, and backed by a knowledgeable team of experts, erwin by Quest helps organizations quickly stand-up data governance programs. Market-leading data catalog automation capabilities for metadata-harvesting, data mapping, data lineage, impact analysis, data quality and sensitive data identification make full enterprise data visibility achievable. Data governance teams have the business glossary management and data stewardship automation to efficiently assign business meaning to data and drive data governance forward. And all have the self-service data discovery, data literacy, data marketplace and collaboration capabilities to truly maximize the value of data.
Follow these 14 steps to implement a data governance strategy that effectively mitigates risks and maximizes the value of your data.
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Consider the following benefits of data governance for achieving greater efficiency, improved compliance, and better decision-making.
erwin Data Intelligence 14 delivers enhanced data quality discovery, cross-platform data observability and more cloud deployment flexibility.
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Data Intelligence from a Microsoft-first Data Partner’s perspective – why it is the best choice for data governance needs that extend beyond Microsoft Purview
Data Intelligence from a Microsoft-first Data Partner’s perspective – why it is the best choice for data governance needs that extend beyond Microsoft Purview