Slackalytics Part Two: Looping Back on Threads

Posted by Pat Lapomarda on March 2, 2017

In last month's installment of Ask a Data Scientist we introduced the CRISP-DM process and walked through the initial step of identifying a business problem, which in our case was "why are employees leaving important channels in Slack?" 

We were able to pull the content of the messages in Slack and produce Word Clouds using R to gain an understanding of the data.  This month we worked to see if we could quantity the problem of people leaving channels. 

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Topics: Data Science

Why Manufacturers Shouldn't Wait To Move To The Cloud

Posted by Jessica Dugas on February 23, 2017

Manufacturers rely on data to improve process and make production more efficient, so they should have the most efficient data system. Leveraging the cloud for data storage is great way for manufacturers to collect, integrate, and analyze their data to push ahead of the competition. 

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Topics: Data Science, Data Analytics

Risk Management Best Practices That Every Insurance Company Should Adopt

Posted by Jessica Dugas on February 21, 2017

Insurers essentially sell risk, so management of this risk is not taken lightly in the industry. However, because insurance companies have been measuring and weighing risk before the data science industry bloomed, many have fallen behind on the lastest technologies and best practices for data collection, management, and analysis- all of which are required for evaluating risk.

Here are three best practices that every insurance company should adopt to improve risk managment:

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Topics: Data Visualization, Data Science, Data Analytics

How Insurance Companies Can Cut Costs Without Jeopardizing Data Quality

Posted by Jessica Dugas on February 16, 2017

In the insurance industry, data is a vital tool to make decisions around risk, claims, sales and pricing. However, collecting, managing and analyzing data can be extremely costly- but it certainly doesn't have to be. With our experience working with insurance companies, we've come up with three key ways insurance companies can cut costs without affecting their data quality or security- and quite possibly improve it!

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Topics: Data Science

The Valentine's Day Birthday Mystery

Posted by Katie Paige on February 14, 2017

Happy Valentine's Day!

But more importantly: Happy Valentine's Birthday to the Reed family!


When Chris Reed joined Arkatechture two years ago, we were excited to learn that he and his wife share the same birthday - and it happens to be Valentine's Day! Since then, we have been left wondering: How common is a Valentine's Day Birthday? 

A quick Google search suggests that Valentine's Day must be one of the worst birthdays to have, but Chris assures us that's not true.

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Topics: Data Visualization, Culture