Lessons Learned Journal Entry 4: 8/21/13
Alanna M. Schauer
The week's lesson has to do with
data mining and the necessity of having clean accurate data. Joy's article outlined the nine influences
determined by the IT industry and their standards set forth. Data accuracy and data quality were two of the nine influences
and are considered a priority. Adam
discusses the importance of clean data and that high quality data requires a perceptive
grasp of the meaning and intent of the data as well as the proper context for
the Automated Community Health data base. Fiona's article discusses the
"V"'s of data (Volume, Velocity, Variety, Veracity, and Visibility) and
the need to go slow, verify the data collected and build upon the data as you
progress. Rita discusses an alternate utilization for data mining and one that
can have ethical implications as it is involves pharmaceutical advertising to
physicians. (Unfortunately I still cannot read Ethel's post). It was very
informative and intriguing how all our blog's articles was interrelated this week
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