NYC Semantic Web Meetup, Nov 2010

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NYC Lotico Semantic Web Meetup describing Best Buy's usage of RDFa, Good Relations, and other semantic technologies to drive traffic and gain insight in order to better serve our customers

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NYC Semantic Web Meetup, Nov 2010

  1. 1. SEMWEB AT THE ENTERPRISE – REALLY?! JayMyers,bestbuy.com
  2. 2. "Manyofourgreatestcompaniesdidnotstartbecausethey thoughttherewasabigpotofgoldattheendoftherainbow. Theystartedbecausetheythoughttherewasaninteresting problemtobesolved." -Tim O’Reilly,Web 2.0 Summit 2008
  3. 3. PROBLEM: STORE SILOS
  4. 4. Simple form/ user input Basic transform engine Human & machine readable data
  5. 5. Simple form/ user input Human & machine readable data Basic transform engine and API Catalog API +  
  6. 6. MILLIONS OF DATA TOUCHPOINTS 6 Countries 155,000 Employees 10 Brands 1,100+ Stores 1,400 Domains 460,000+ Products
  7. 7. Best Buy Global Graph BBY US Mobile App Data Best Buy Mobile BBYQR Code Data Magnolia m.bestbuy .com @twelp- forceTwitter annot. Reward Zone @BestBuy Twitter annot. BBYUS Local Stores BBYUS Products BBYUS Employee Insights BBYUS Site Analytics Geek Squad Pacific Sales BBY US Facebook BBY Mobile Apps BBY US Customer Insights Carphone Warehouse BBY UK Products BBYUK Employee Insights BBY UK Facebook BBY UK Site Analytics BBY UK Site Analytics@BestBuy UK Twitter BBYUK Customer Insights BBYCA Customer Insights BBYCA Site Analytics BBYCA Products @BestBuy CA Twitter BBYCA Local Stores BBYCA Customer Insights BBY CA Employee Insights BBY MX Employee Insights BBY MX Local Stores BBYMX Products BBY MX Customer Insights BBY MX Site Analytics BBYTK Products BBYTK Site Analytics BBYTK Employee Insights Best Buy US Best Buy Canada Best Buy Turkey Best Buy China Best Buy UK Best Buy Mexico BBYCN Site Analytics Five Star Products BBY CN Products
  8. 8. “…e-commercestilllacksbrowsinganddiscovery experiencesthatsatisfycuriosity." - Alexander Gruensteidl. “Four Keys to Surviving the Future of Retail”. 09 September 2010 . <http://www.fastcodedesign.com/1662269/changing- retail-currency> PROBLEM: SHRINKING MARGINS & ATTACH RATES
  9. 9. CREATE PRODUCT RELATIONSHIPS Margin: -5% Margin: 19% Margin: 12% Margin: 49% Margin: 8% Margin: 31% Margin: 17% Margin: 10% Margin: 49% Margin: 21% Margin: 61% Margin: 9% Margin: 10% Margin: 25% Margin: 40%
  10. 10. SPARQL select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where { ?s1 rdfs:comment ?text . ?text bif:contains ’”Netbook”’. Global Graph of data
  11. 11. "Poorserviceintheguiseofill-informedstorestaffcreates lackoftrustanddrivesshopperstolookforalternatives." PROBLEM: DECLINING CUSTOMER SERVICE - Nigel Fenwick. “Industry Innovation: Retail”. Forrester Research. 28 July 2010 .
  12. 12. Global Graph of data SPARQL select distinct ?o as ?uri, bif:sprintf("%.2f",?p2) as ?price, ? currency, ?text, ?label, ?thumb, ?ean, ?order_link where { ?s1 rdfs:comment ?text . ?text bif:contains ’”LCDTV”’.
  13. 13. Global Graph of data
  14. 14. PROBLEM: STAYING CONNECTED IN THE “CONNECTED WORLD” Global Graph of data
  15. 15. THANK YOU! @jaymyers

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