Webinar --- Assessing Data Quality in the Covid-19 Metrics. A Case Study (more information)


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This presentation will be available using GoToWebinar to view the session through a web-based link.

Date Information

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0.5 RU
 
GoToWebinar
 
Presentation 6:30 p.m.
Adjourn 8:00 p.m.
 
Contact: Fred Cramer

Please note: Webinar information will be emailed to registered participants the evening before the event.

Assessing Data Quality in the COVID-19 Metrics. A Case Study.

There is often a long path between the reality which raw data describes, and decision-maker understanding of what is going on (“big picture”). This “data-to-understanding supply chain” has many steps, with potential for lapses in the quality of data and information. This gap (with threats to quality) is particularly evident in the flow of Covid-19 data being passed around units of government in the U.S. The state and county totals suffer from a variety of definitions, inconsistent processes, and various sources of delay in reporting.  This slide presentation provides simple explanations of the kinds of tests (antigen vs. antibody), and other issues of false negatives, comorbidity, and sampling techniques.  Ambiguities abound. We shall also consider other new metrics which would be useful to understand this pandemic. We shall also touch on best practices (or ineffective techniques) in data visualization with some excellent examples (of both) from government sources.

Michael Scofield

Michael Scofield, M.B.A. is an Assistant Clinical Professor at Loma Linda University. He is a frequent speaker and author in topics of data management, data quality, data visualization, and data warehousing.  He has spoken in over 27 states, Canada, Australia, and the U.K. Audiences have included 24 DAMA chapters, 5 TDWI chapters, 14 ASQ sections and many accounting professional organizations. He also does guest lectures at several universities.

His career experience includes some time with a CPA firm, developing an accounting and general ledger system for a major California bank, as well as experience in government, manufacturing, finance, and software development. Now semi-retired, he still does pro bono data mining and data quality analysis for non-profit organizations. His greatest interest currently is data visualization, data quality assessment, and using graphic techniques to reveal business and economic behavior. He also has humor published in the Los Angeles Times, and other journals. 


Date: Thursday October 8, 2020
Time: 6:30 pm - 8:00 pm


Enrollment opens: September 27, 2020

Enrollment closes: October 7, 2020


Pricing Information:

Previous price ending 10/07/2020 was No Charge