Presented by Michael Scofield, M.B.A.
Assistant Professor, Loma Linda University
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 also examine 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.
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 mishandling of the process to derive “higher level” information from the raw data.
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.
November 16, 2017 (Chapter meetings held on third Thursday of the month)
8:30 – 9:00 am – Sign In
9:00 – 10:15 am – Presentation
10:15 – 10:30 am – Break, Chapter Announcements
10:30 – 11:30 am – Presentation continued
Standard Insurance Tower (900 SW 5th, please note Standard Ins. has multiple downtown locations)
We meet in the Atrium Room at the top of lobby escalators
$15 for non-members
$5 for students with valid student ID