Today’s metadata management solutions are coming unglued due to the myriad of urgent requirements that they are expected to fulfill--from regulatory compliance to customer 360, or from the analytics pipeline to cyber security.
This is because today’s metadata management players have no way to express connections between people, processes, applications and systems and therefore they have no way to present that relationship data to the new generation of applications they expect to build.
In order to tap the maximum value from analytics, and they must because their competitors already are--they need to create an ontology for how they view the connections across their business so that they, too can create new, breakthrough applications, powered by machine and deep learning, that generate revenue, mitigate risk and improve customer satisfaction.
Enterprise metadata architectures need graphs. Today’s metadata solutions can build glossaries and topical ontologies, but have a more difficult time finding related terms, tracing lineage and evaluating impacts of change. They plug into the data pipeline, but provide no help in mapping an analytic consumer through their favorite report from the warehouse or data lake to the changes made at sourcing systems (pre ETL).
Graphs are the adhesive that is missing from enterprise metadata architectures.
During this half day workshop, you will learn about how graphs can help solve your meta-data data problems, and be shown real life use cases (Risk & Compliance solutions for GDPR, BCBS 239, Impact Analysis for IT modernization, Know Your Customer, Cross Selling, Recommendations, Data Governance) on how winning organizations connect their systems of analysis and systems of insight with their systems of engagement and interaction to deliver a superior digital customer experience.
Overview- 1:00PM - 2:15PM
Break- 2:15PM - 2:30PM
Hands-On Walkthrough- 2:30PM - 4:30PM
Solution Showcase- 4:30PM - 5:00PM
Who Should Attend:
Chief Data Officers
Risk & Compliance officers, directors and managers
Enterprise and Digital transformation leaders
Data strategists and scientists
This event is a completely free event. There will be coffee and snacks served. Seating is limited so reserve your spot today!