After a review of basic charting styles and issues, we will explore more advanced techniques to (a) find data quality and definition lapses, (b) aid the knowledge worker in discovering new relationships, trends, and phenomena often more obscure, and (c) develop methods to explain reality to decision-makers.  We will particularly focus on helping the understanding of very large numbers by using various kinds of context, in graphical form.  Business analysts need to be on top of the entire data-to-information chain and be aware when the expression does not match the audience.  An essential concept is differentiating between raw data and decision-able information.

Key Point:
Exploring advanced techniques.

Michael Scofield, M.B.A. is an Assistant Professor at Loma Linda University.  He is a frequent speaker and author on topics of data management, data quality, data visualization, and data warehousing.  He has spoken over 300 times to professional audiences 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 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.  

Registration:
https://iiba-org.zoom.us/webinar/register/WN_6EDkcHhHQAKYkU6N_K7EHQ