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DTSTAMP:20260511T020548Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9683\n<p>A September 2017 study
  published in Harvard Business Review&nbsp;stated that only 3% of executive
 s and managers surveyed found that their data met high-quality standards. D
 ata science teams have unique needs, but we begin with 21st-century data re
 quirements for advanced analytics, not necessarily the data quality practic
 es of the 1990s. Based on over 10 years of practical experience, we will ex
 plore six best practices for launching effective data science teams that dr
 ive real business value:&nbsp;</p>\n<ol>\n
 Ready to decide: How to identify if your business is truly prepared for aut
 omated decisions&nbsp;\n
 Ready to stream: How to spot the high-quality streaming data necessary for 
 industrial-strength data science\n
 Ready to team: Tuning data management skill sets to support your data scien
 tists\n
 Ready to deploy: Only 10% of data science models are deployed in production
 ...how to advance the right model at the right time\n
 Ready to respond: Anticipating the customer feedback loop with advanced ana
 lytics\n
 Ready to dream: Prepping your executive management team to invest in&nbsp;f
 ull-stack data science teams\n</ol>\n
DTSTART:20180424T101500
SUMMARY:Get Your Data Teams Ready for Data Science: Beating the Odds
DTEND:20180424T111459
LOCATION: See Description
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