Most organizations recognize that data is a critical enterprise asset. However, if not properly governed, data can quickly prove to be a liability with the potential to cause financial and reputational damage.
How should enterprises navigate the trade-offs inherent in delivering widespread data access for insights-generation, while protecting against the attendant risks of violating data privacy and regulatory requirements? The answer lies in establishing an enterprise data governance foundation to accelerate data outcomes. The right data governance tools can empower organizations with capabilities to improve data trust, protection, and compliance, and empower the right data consumers with self-service access to the data.
In a recent IBM webinar, @Robert Jackson Jones, Senior Product Manager, IBM Data Governance, discussed essential components of a modern data governance tool. If you are a data engineer, data steward, data product owner, or business analyst, watch this webinar to learn how to create a governed, compliance-ready data foundation with IBM Watson Knowledge Catalog.
Key takeaways from the webinar:
· Essential building blocks of a modern data governance solution
· Leverage automation to scale intelligence about data with metadata enrichment
· Catch data quality issues early with AI-powered data quality management
· Enforce data privacy and data protection rules at scale with automation
Watch the webinar recording here: https://ibm.webcasts.com/starthere.jsp?ei=1590359&tp_key=bacf884b19
Accelerate your governance journey by exploring topics including data quality, metadata management, data lineage and more by registering for the IBM data governance webinar series: https://ibm.biz/DataGovernanceWebinars
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