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Achieving Data Acumen: Improving Workforce Data Literacy (and therefore performance!)

  • Wednesday, April 21, 2021
  • 9:00 AM - 11:00 AM
  • See Remote Meeting Instructions Below

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Abstract  

More than half of work is accomplished by knowledge workers–usually defined as those who must “think for a living” [Davenport, 2005].  I contend that all knowledge workers work with data.  Since most learn about data individually (if at all), the opportunity to gain from communal or best practices learning has not been present.  Most refer to this as a lack of data literacy.  Whether applied at the individual or organizational level, literacy is a binary concept and our data needs are more varied.  Data proficiency and data acumen are more descriptive/useful terms and these should also be used to describe today's organizational data knowledge requirements.  This program will describe five specific data knowledge requirement levels and objective behaviors that must be demonstrated by those operating at each level.  Lack of this data knowledge has so far hindered society from fully realizing our collective potential benefits.  More importantly, organizations adopting these data knowledge requirements can directly and immediately improve organizational knowledge worker productivity.  Delegates will:

  • Learn why the term data literacy is insufficient to describe the challenge and how the progression from literacy  proficiency  acumen is more operationally viable 
  • Understand five data knowledge requirements levels in terms of their data leverage type, data skills type, ethical perspective and behavioral focus
  • Be able to match data knowledge requirements levels with types of organizational requirements
  • Begin to estimate the dollar ranges of potential knowledge worker productivity improvements in their organizations



Biography

Peter Aiken, an acknowledged Data Management (DM) authority, is an Associate Professor at Virginia Commonwealth University, past President DAMA International, and Associate Director of the MIT International Society of Chief Data Officers. For more than 35 years, Peter has learned from working with hundreds of data management practices in 30 countries including some of the world's most important. Among his 10 books are the first on CDOs (the case for data leadership), the first describing the monetization data for profit/good, and the first on modern strategic data thinking. International recognition has resulted in an intensive schedule of events worldwide. Peter also hosts the longest running DM webinar series (hosted by dataversity.net). From 1999 (before Google, before data was big, and before data science), he founded Data Blueprint, a consulting firm that helped more than 150 organizations leverage data for profit, improvement, competitive advantage and operational efficiencies.  His latest venture is Anything Awesome.  


Agenda

9:00 Opening Remarks
9:15 - 11:30  Presentation

11:30 - 11:45  Open Q&A


Location

Remote Meeting

DAMA MN April Meeting


Hosted by DAMA Facilitator


https://dama-yuo.my.webex.com/dama-yuo.my/j.php?MTID=m0e9f064f8dd65decf7bd46635b097f5a


Wednesday, Apr 21, 2021 9:00 am | 2 hours | (UTC-05:00) Central Time (US & Canada)

Meeting number: 182 355 1462

Password: 123456


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