eBay, one of the world’s oldest, largest, and most complex data environments, is laying the groundwork for self-service analytics by moving from heavily engineered metadata systems to the new world of machine-learned guidance and asynchronous collaboration in a user environment that spans both Hadoop and databases.
Debora Seys shares how software can learn from and leverage activities by data stewards, subject experts, and analysts themselves to enrich a data catalog that feeds a just-in-time smart suggestion experience for all data users.
Debora works on delivering a trusted self-service data experience at eBay. She’s been helping users help themselves to find, use, and collaborate with information and data for 15+ years. Prior to her current role, Deb drove search and taxonomy technology capabilities at Kaiser Permanente and was a hands-on business analyst at eBay. She began her career as an information specialist at Hewlett-Packard. Deb holds a master’s degree in library and information science from UC Berkeley.