Many organizations initiate data governance programs because of pressing compliance issues that impact data usage. At the other end of the spectrum, some organizations begin by governing data that’s shared broadly through a community of consumers across the enterprise, each with their own perspective on what constitutes quality and usability. In the middle, transformation effectively becomes the means to the desired end — applying defined rules to materialize consistent visibility into enterprise data assets enables coherence that establishes compliance and trustworthiness.
Join David Loshin at the live webinar, hosted by TDWi, tol learn about these three different factors and how they inspire the creation of an extraordinary data governance program.
|Mon Oct 22 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Big Data Quality - Cleansing Data at Scale
|Mon Oct 29 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Finding and Matching Duplicates to Resolve Entities
|Mon Nov 05 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Tracking Data Lineage from the Source
|Wed Nov 07 @08:00 - 05:00PM|
ITWeb GDPR Update
This week I am publishing the presentation that was delivered as the Customer Analytics conference last month In this presentation I talked about the challenges of delivering customer experience – including having to source new , unstructured data sets Data[…]Read more...