Autofill, spellcheck, and turn-by-turn directions provide extremely helpful just-in-time suggestions. Applications like Google Maps present an elegant way to guide users, increasing accuracy and saving time in the process. What if guiding users to accurate data could be as simple?
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 will also explore the ways that eBay’s effort toward governed, self-service analytics is paying off with real business results, including:
Debora Seys 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.
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