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DTSTART:20220313T030000
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DTSTART:20221106T010000
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DTSTAMP:20220512T193046Z
UID:80C8D3E4-CBAA-4BF5-843A-7CF92242D0EA
DTSTART;TZID=Canada/Eastern:20220512T140000
DTEND;TZID=Canada/Eastern:20220512T150000
DESCRIPTION:Credit card fraud detection is an ever-growing problem in today
 ’s financial market with a rapid increase in plastic card usage worldwid
 e. According to the Nelson report\, by 2027\, financial service providers 
 are expected to take a $40 billion hit globally in credit card losses\, a 
 significant increase compared to previous years. Hence\, data-driven decis
 ions can largely help in mitigating that risk. We chose this topic to deep
  dive into different aspects of Fraud Data Analysis &amp; Exploration using In
 teractive Tableau Dashboard. Tableau dashboards can be very powerful in dr
 iving data-driven decisions. We created an interactive dashboard to help s
 takeholders or less technical people to drive insights\, understand data b
 etter\, and help in business decisions making. The interactive feature hel
 ps users to add filters as per their needs and understand the data in a wa
 y they want to analyze. Our dashboard is dynamic and would be updated when
  several filters are applied together. Multiple filters can be added to mu
 ltiple charts at the same time. These charts are intuitive which makes eve
 n new users easily interact and understand the data.\n\nSpeaker(s): Priyan
 ka Singh\, \n\nToronto\, Ontario\, Canada\, Virtual: https://events.vtools
 .ieee.org/m/313201
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.o
 rg/m/313201
ORGANIZER:reza.dibaj@ieee.org
SEQUENCE:3
SUMMARY:Fraud Data Analysis &amp; Exploration using Interactive Tableau Dashboa
 rd – Students’ Research in ML and DL at Durham College
URL;VALUE=URI:https://events.vtools.ieee.org/m/313201
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Credit card fraud detection is an ever-gro
 wing problem in today&amp;rsquo\;s financial market with a rapid increase in p
 lastic card usage worldwide. According to the Nelson report\, by 2027\, fi
 nancial service providers are expected to take a $40 billion hit globally 
 in credit card losses\, a significant increase compared to previous years.
  Hence\, data-driven decisions can largely help in mitigating that risk. W
 e chose this topic to deep dive into different aspects of Fraud Data Analy
 sis &amp;amp\; Exploration using Interactive Tableau Dashboard. Tableau dashbo
 ards can be very powerful in driving data-driven decisions. We created an 
 interactive dashboard to help stakeholders or less technical people to dri
 ve insights\, understand data better\, and help in business decisions maki
 ng. The interactive feature helps users to add filters as per their needs 
 and understand the data in a way they want to analyze. Our dashboard is dy
 namic and would be updated when several filters are applied together. Mult
 iple filters can be added to multiple charts at the same time. These chart
 s are intuitive which makes even new users easily interact and understand 
 the data.&lt;/p&gt;
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