BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260308T034514Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10512\n<p>NOTE: This seminar is
  continued from Thursday afternoon.</p>\n<p>Most companies and government a
 gencies address data quality reactively after errors are made, and as a dir
 ect result, suffer from bad data. To date, it has taken a special person to
  challenge the status quo within his or her work team and address data qual
 ity by &ldquo;getting in front&rdquo; of the issues, making a huge improvem
 ent, and, in effect, showing the rest of the company what is possible. I ca
 ll this person the &ldquo;data provocateur.&rdquo; I recently introduced th
 e term publicly (see for example, &ldquo;Data quality should be everyone&rs
 quo;s responsibility.&rdquo; in HBR), and many people have asked, &ldquo;Ho
 w can I become a data provocateur?&rdquo; This mini-boot camp provides the 
 answer. It aims to provide you with the skinniest possible set of materials
  needed to become an effective data provocateur and to empower and embolden
  you to move forward. An exemplary provocateur would be Bob Pautke at AT&am
 p;T. I&rsquo;ll go into detail about Bob&rsquo;s thinking, his first steps,
  how AT&amp;T built on his efforts, and the results he and AT&amp;T obtaine
 d.&nbsp;</p>\n\n	What is a &ldquo;data provocateur&quot;?\n
 Why do data quality problems arise? (Answer: The rising middle manager)\n
 The hidden data factory\n
 Provocateur defined, with a special emphasis on soft skills\n
 Discussion: Can you fill the role?\n\n<p>A four-step process for becoming a
  provocateur:</p>\n<ol>\n
 &nbsp;Answer &ldquo;Do I (we) have a data quality problem?&rdquo;\n	\n
 The Friday Afternoon Measurement\n		Other impacts of bad data\n
 Answering the question\n	\n	\n
 Clarify, document, and communicate customer needs. Step a: Name the most im
 portant customers (including required documentation)\n	\n
 Learn how they use the data (including required documentation); Conduct a c
 ustomer needs workshop\n
 Determine required features and quality requirements (including required do
 cumentation)\n
 Prepare a customer requirements document discussion: Put yourself in the cu
 stomer role. What would it take to complete such an analysis for yourself a
 nd your work team and communicate your requirements to a data creator?&nbsp
 ;\n	\n	\n
 Make improvements to close the gaps. Quality improvement and the scientific
  method-the quality improvement cycle discussion: Can you do this work?\n
 Summarize the results. What success looks like presenting results, building
  support to &ldquo;Get to the next level&rdquo; discussion: Any questions a
 bout what is required? Wrap up and next steps - a promise to yourself: Make
  a list of the steps you propose to take in the next ten, 30 and 60 days.\n
 </ol>\n
DTSTART:20190322T083000
SUMMARY:The Data Provocateurs' Bootcamp
DTEND:20190322T114459
LOCATION: See Description
END:VEVENT
END:VCALENDAR