Inside Data Lineage: Results Driven Intelligent Lineage

Presented by

Bob Doyle, Accenture; Michelle Sorenson, Senior Principal, Daugherty Business Solutions & William Knapik, Accenture

About this talk

Before data can be used for analytics, digital transformation or enhanced customer experiences, it must be well-understood and trusted. That’s why data lineage is crucial to any data strategy, tracking data movement from source to consumption while maintaining its quality and compliance. Organizations typically start their data lineage journey with manual spreadsheets or limited technical data lineage tools. But as data compounds, manual approaches taking months of IT resources to create are inefficient and impractical. In addition, they only provide a technical view of data lineage without the context that business users need. Fortunately, there’s a better way. Automated data lineage tools address the limitations of manual data lineage by programmatically extracting lineage information from source systems and creating data flow visualizations. In addition, it’s enriched with business-friendly views – terms, policies, rules, processes, privacy tags and other artifacts – to drive data literacy across your enterprise. Join the third session of this webinar panel series for a discussion with ASG data lineage partners Accenture and Daugherty to learn about: • Key differences between manual and automated data lineage • How automated data lineage is foundational to data governance and analytics • Practical guidance, challenges and considerations for operationalizing a lineage program • Benefits of making data lineage part of the enterprise data management strategy vs a business unit or single project approach You’ll emerge with new insights into how you can accelerate your data journey with automated, intelligent data lineage.
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