NICE Nexidia Predictive Behavioral Routing (formerly Mattersight) vs RStudio Team

• Routes callers to agents who have best fit for their personality (thereby increasing revenue and revenue retained).
• Contains governors to minimize the impact on agents and customers during busy periods.
• Ease of integration into our existing infrastructure.
• Sales/support teams from Mattersight are fantastic.

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• Rstudio is very customizable. You can easily change font colors, sizes, and screen layout. I am particular about how I like my IDE setup, so this is a big plus for me.
• Rstudio allows you to look at datasets in your workspace with the click of a button. I do a lot of data manipulation, so I am constantly having to look at datasets after operations to make sure they look correct. The view option in Rstudio makes checking datasets very fast.
• Finally, I love the way Rstudio manages plotting. Your plots can be viewed in one of the panels. Those plots can easily be copy/pasted or exported into a variety of file types. You can also magnify the plots and scroll between plots to look at previous plots.

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• ISG could use more in depth reporting that is available on demand.

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• When you first start with RStudio, you need to install and then reference them in your script. In my view RStudio should come with pre-installed packages that most fundamental to any data analysis. Few example packages are 'dplyr' and 'ggplot.'
• While everything in RStudio is achieved via writing script, it should include more point and click tasks such as right-clicking temporary datasets and removing them.

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• Positive ROI
• Still assessing customer satisfaction
• Still assessing employee satisfaction

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• We've been able to implement several predictive models that stratify risk among our patient population which has been a positive impact.
• We've conducted several clinical program evaluations using the MatchIt package in RStudio which demonstrated the clinical effectiveness of our programs.
• We've kept the costs relatively low in productionalizing our models by running all automated jobs through RStudio using the Linux server CRONTAB.

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