Wednesday 13 December 2017
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5 days ago

Data Modeling, Data Governance, Data Quality


Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems. Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models metadata-driven data governance can be applied in your organization in order to achieve improved data quality.

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