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UID:calendar.2374.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20230227T180516Z
DESCRIPTION:\nWhen and Where: \nMonday, March 20, 2023 3:30 pm to 4:30 pm
  \n Hybrid \n\nSpeakers \nAlison Burnham \n\nDescription: \nOnce you get i
 nto the real world of messy, confusing, incomplete data in almost all bu
 sinesses the number one opportunity is to manage that data into something 
 that can be interpreted, modelled, and used to drive business decisions.
  Sounds easy but in my experience it’s actually incredibly hard, especial
 ly in a growing business like a start up where the platform is constantly 
 evolving and collecting data is often missed in the desire to continue to 
 increase product functionality. What is required is a strong voice for dat
 a, someone who can explain the shortcomings of the current data in busine
 ss friendly terms, and sell the extra time and effort it takes to build a
  platform that not only operates well but is measurable and hence optimiza
 ble. I’m going to talk about how that role works and how it can lead to an
  ever growing role in running the business overall (that “C” level role) i
 f done properly.Please join the event.About Alison BurnhamDr. Alison Burnh
 am has over 30 years of experience in applying data & analytics to a wide 
 variety of applications including pricing, customer relationship marketin
 g, predictive analytics, business intelligence, loyalty programs, and 
 credit risk analysis. During that time she has worked in a diversity of ve
 rticals across both B2B and B2C clients, including Chico’s FAS (Fashion R
 etail), ScoreBig (Ticketing), Emotely (Social Networking), TD Bank, JP
  Morgan Chase, GE Capital, Esso, GM, Kraft, National Basketball Assoc
 iation and Fed Ex. She is currently managing all digitization efforts for 
 RepairSmith Inc, a mobile auto repair service start-up based in Los Angel
 es. Digitization includes not only data science but also product managemen
 t and software development. Alison has a PhD in Mathematics and a Post-Doc
 toral Fellowship in Chemical Engineering from McMaster University in Hamil
 ton. Her undergraduate and master’s degrees are both from the University o
 f Waterloo. \n\nContact Information: \n CANSSI Ontario \n\nCategories \n D
 ata Science ARES \n\nAudiences \n FacultyGraduate Students
DTSTART;TZID=America/New_York:20230320T153000
DTEND;TZID=America/New_York:20230320T163000
LAST-MODIFIED:20230227T180950Z
SUMMARY:Using Data Science to Optimize Business – Opportunities & Challenge
 s
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/using-data-science-o
 ptimize-business-%E2%80%93-opportunities-challenges
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