BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260412T234335Z
DESCRIPTION:Click for Latest Location Information: http://edw2022digital.da
 taversity.net/sessionPop.cfm?confid=149&proposalid=13809\nAccording to McKi
 nsey, over the past decade, advanced analytics has become a top priority ac
 ross industries: 90 percent of companies recognize its value, and many have
  started to put internal analytics organizations in place, with an eye towa
 rd scaling use cases. However, the majority of companies have not been able
  to unlock the full potential of advanced analytics—with the main rea
 son being the lack of visibility, capabilities and repeatable processes nee
 ded to deliver data to feed these new algorithms and analytics models.\nDat
 aOps is an automated, process-oriented methodology used by analytics and da
 ta teams to improve quality and reduce the cycle time of advanced analytics
 . In this session, learn how Quest’s approach to data empowerment hel
 ps our customers underpin and assure their DataOps practice. Through a crit
 ical combination of metadata management, data governance and preparation di
 scover how you can increase business and technical stakeholder data literac
 y, automate delivery of on-demand data insight to speed analysis of data fi
 tness, and reduce cycle time in preparing, maintaining and deploying high-q
 uality data pipelines. All within a flexible governance framework that assu
 res the right people have the right data, for the right use, at the right t
 ime.\n
DTSTART:20220419T110000
SUMMARY:Empowering DataOps with Data Intelligence
DTEND:20220419T112959
LOCATION: See Description
END:VEVENT
END:VCALENDAR