How to share a dashboard and still keep your data secure?

There are several off the shelf dashboarding tools that make it easy for business intelligence and communicating business insights. At Front Analytics we use Shiny from Rstudio as a cost effective and easy to customize solution. ShinyProxy as an alternative to Shiny Server Pro ShinyProxy takes all the functionality of Shiny and provides a nice, open source set of features comparable to Shiny Server Pro. It utilizes Docker as a backend for serving shiny applications and creates isolated containers for each user session. »

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Best Options for Automatic Voice Transcription for Call Centers

Your data is valuable, not just the customer data you have on hand, not just the market data you use to forecast the best possible business strategies. Your call data is valuable. Contact centers handle tens of thousands of calls per day. If you are recording 100k hours of calls and you are not taking full advantage of this data through analysis and machine learning, you are missing out on low hanging fruit that can give you insights into best sales practices, efficiency optimization gains, and customer-agent type matching. »

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How to Download Your Google Sheet into Python in One Line of Code

How to Download Your Google Sheet into Python in One Line of Code This example will show you how to connect your Google Sheets data with Python and download the results as a Pandas dataframe. This is an ideal choice for small datasets or for collaboration with colleagues who are comfortable with spreadsheets, but unwilling to work in code or databases. Thank you to Artem Zhukov whose Stackoverflow answer let me know this was possible. »

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Geospacial Customer Segmentation Using Behavioral Data

Segmenting Demographics Using Telecommunication Behavior Our goal for this analysis is to find the distinct telecommunication patterns in and around the city of Milan via k-means clustering. Having these patterns gives us the ability to segment communication tendencies by block characteristics. K-means clustering takes the total number of observations and splits them into a certain number of groups, or clusters, based on their innate grouping tendencies. Establishing clusters allows us to identify similar patterns in telecommunication activity across geographical checkpoints, referred to as blocks. »

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