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Let me introduce myself...

  My name is Erika.  I have two little girls (9 and 11) and am very excited to be a part of the Computer Science – Big Data Analytics Doctorate program.  I started the program in Nov2019 and am currently working in data analytics.  I love programming!  I know VBA for Excel, Python, SQL, R, SAS, and a little bit of XLST, HTML, and CSS.  I also love riddles, forensics, abnormal psychology, and anything related to solving crime.  I have also been known to interpret dreams.  It seems I like anything that requires solving. :) I expect this blog to be about my research interests such as anything related to crime analysis, crime prevention, and recidivism.  If there is a way that I can marry data science with crime data, I am all about it!  I would like a way to utilize my mathematical knowledge in forecasting and new techniques to better predict crime.  Making an impact like that would be a dream come true.   The impact I can have on the criminal justice community and the knowledge I can gai
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The Mis-Forecast of E.T.

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           One instance where a company would have probably had more success with scenario-type planning was when Atari decided it would be a good idea to release E.T. the Extra-Terrestrial video game in 1982 (Sauter, Comen, Frohlich, & Stebbins, 2018) .   It seems to me that because the movie was so successful, Atari thought it would make sense to launch a video game.   I do not see an error in their logic.   What they seemed to not count on or take for granted was that while consumers like a high-quality movie, they would somehow settle for a subpar video game.   The video game was so rushed that when it was finished, it was just that – finished.   It did not sell well and cost a total of $26 million.   It was such an embarrassment that the remaining unpurchased games were buried (Sauter, Comen, Frohlich, & Stebbins, 2018) .   This reminds me of the current Cyberpunk 2077 fiasco where the game was so buggy that not only were games returned and refunds disbursed, but the inv
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