BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Jing Lu (University of Winchester)
DTSTART:20221117T233000Z
DTEND:20221118T003000Z
DTSTAMP:20260513T185903Z
UID:SFUOR/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SFUOR/4/">Ca
 se Studies in Data Science and Analytics from a UK Business School</a>\nby
  Jing Lu (University of Winchester) as part of PIMS-CORDS SFU Operations R
 esearch Seminar\n\nLecture held in ASB 10908.\n\nAbstract\nData science in
 volves the collection\, management\, processing\, analysis\, visualisation
  and interpretation of huge amounts of data. It is a multi-disciplinary fi
 eld that integrates systematic thinking\, methodology\, process and techno
 logy to develop intelligence with respect to real-world problems. This pre
 sentation focuses on the business environment and identifies the component
 s of data science forming a conceptual architecture before proposing a com
 posite data-driven process model. Representative tools and techniques are 
 applied to relevant case studies demonstrating innovation in undergraduate
  programme design\, customer analytics and the marketing of insurance for 
 example.\n
LOCATION:https://researchseminars.org/talk/SFUOR/4/
END:VEVENT
END:VCALENDAR