Event Information:

• Wed

  12

  Sep

  2018

  September meeting - “Good Data; Bad Info. & A New Taxonomy of Metadata”

  1-5:00 PM (Registration & snacks 12:30 – 1:00)KU Edwards Campus BEST Building – Room 120 12600 Quivira Road Overland Park, KS 66213

  

  Michael Scofield, M.B.A. is an Assistant Professor at Loma Linda University. His career includes application development, database design, data architecture, information quality, and decision support for a variety of industries including manufacturing, software, education, and financial services. He has lectured to professional audiences in over 26 states, Canada, the U.K., and Australia. Professional audiences include various accounting groups, over 10 sections of the American Society for Quality, Data Warehousing Institute chapters, and database user groups. He has also lectured at numerous universities.

  His presentation will include the following information....
  Producing decision-able information from lots of raw data often requires complex processes which must be carefully designed and architected.

  • This presentation looks at the gap between raw data and decision-able information. Most of the chatter about data quality focuses upon raw, granular data describing discrete events and entities inside the enterprise and around it. But for data warehouses and decision-support, data must be converted into useful information meaningful to the decision-maker.
  • We will look at numerous examples between raw data and derived data (“information”) which show us trends, patterns, etc. Examples come from astronomy, military intelligence, and criminology. For example, in image analysis (in the intelligence community) we see a succession of “derived” data as we move from pixels to clues about the enemy’s strategic intent. But in that progression, there is potential for error or bias. That must be understood.
  • As an enterprise is inundated with more data (raw, intermediate, and advanced information) the designing and population of good metadata becomes even more important. We will look at nine distinct kinds of metadata. Not all kinds are of equal importance, but we will show the value of each. The larger the organization, and the more diverse the “institutional memory”, the more important it is to properly document the data asset for broader exploitation of its value.
  • We will also look at how incorrect conclusions may be drawn because of mis-handling of the process to derive “higher level” information from the raw data.

  DAMA members who have a paid membership from April 2018 through March 2019 may attend at no charge.  Guests are welcome to attend for a $35 fee and can submit payment here.

  Please send your RSVP by September 7th to: rsvp@kcdama.org.

  NOTE:  Please contact Membership@kcdama.org or Treasurer@kcdama.org if you are unclear of the status of your membership.