Virtual Professional Development Meeting – 2022 January


!!! Please make note – Virtual PD Meeting via WebEx !!!


Fundamentals of Effective Data Visualization

Data Visualization uses graphic techniques to convert raw data into meaningful information.  These techniques support two major functions; first is data analysis to help you understand what is going in the data and industrial processes the data describe.  The second role is to communicate to executives and decision-makers what is happening in the business and its environment which they need to know for major strategic decisions and policy design.  Executives may say they want “data”, but they really want information which is meaningful and relevant… and they can get their brains around.
We will review the data-to-information life cycle (the basic conversion of raw data to information) and some of the issues of consistency, definition, and normalization.  We will then review the five most common types of charts, and the important difference between categorical and linear dimensions.  As we do, we discuss how each chart is best and appropriately used for different kinds of data.  Particular emphasis will be given to the context of data points, both historical values, and the proper selection of peer data to make your own business behavior more meaningful.
A “rogue’s gallery” of really bad charts (from some surprising sources) will help us understand common errors.  We will look at each and discuss why it is bad, and how it can be improved.  This leads to a discussion of the imperatives of data visualization:  to be legible, understandable, relevant, and truthful.  Readability necessarily involves a discussion of colors, grey scale, and fonts along with the appropriate use of additional graphic elements and labels to increase the quick understanding of the reader.


Michael Scofield, M.B.A. is a member of the faculty at Loma Linda University in southern California.  He has spent most of his career in systems development, data management, and information quality.  He has lectured to over 340 professional audiences around the U.S., Canada, and in the U.K. and Australia.  He has over 27 published articles in data management, particularly in data quality assessment.  Recently, his more popular topics included “Covid-19 Data Quality Case Study”, sources of organizational complexity, semantic data integration, and data visualization.  He also lectures widely to general audiences on topics of travel, history, interpreting satellite imagery, and civics.



Remote Auditing


John Jennings

!!! Please make note – Virtual PD Meeting via WebEx !!!

Meeting Information

Meeting Date: 27th January 2022
Meeting Time: 6:00 pm to 7:30 pm

Meeting Location:
Virtual Meeting

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