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SUMMARY:KEYNOTE 6: Big Data Analytics: Does Data Quality Really Matter?
DTSTART;VALUE=DATE-TIME:20181205T074500Z
DTEND;VALUE=DATE-TIME:20181205T082500Z
DTSTAMP;VALUE=DATE-TIME:20260814T192030Z
UID:indico-contribution-162-819@events.chpc.ac.za
DESCRIPTION:Speakers: Bhekisipho Twala (University of South Africa)\nBig D
 ata analytics is the often complex process of examining large and varied d
 ata sets -- or Big Data -- to uncover information including hidden pattern
 s\, unknown correlations\, market trends and customer preferences that can
  help organizations make informed business decisions\, including new reven
 ue opportunities\, more effective marketing\, better customer service\, im
 proved operational efficiency and competitive advantages over rivals. Nume
 rous industrial and research databases have quality issues including outli
 ers\, noise\, missing values\, and so on. In fact\, it is not uncommon to 
 encounter databases that have up to a half of the entries missing\, making
  it very difficult to mine them using data analysis methods that can work 
 only with complete data. Currently\, comprehensive analysis and research o
 f quality standards and quality assessment methods for big data are lackin
 g. First\, this talk summarizes reviews of data quality research. We then 
 analyze the data characteristics of the Big Data environment\, and present
  quality challenges faced by Big Data. Finally\, we construct a dynamic as
 sessment process for data quality.\n\nhttps://events.chpc.ac.za/event/33/c
 ontributions/819/
LOCATION: Hall B+C
URL:https://events.chpc.ac.za/event/33/contributions/819/
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