data privacy

Weekly Round-Up: Data Scientist Types, Data Protection, Travel, and Jay-Z

Welcome back to the round-up, an overview of the most interesting data science, statistics, and analytics articles of the past week. This week, we have 4 fascinating articles ranging in topics from data scientists types to data collecting music apps. In this week's round-up:

  • What Kind Of Data Scientist Are You?
  • Evernote’s Three Laws of Data Protection
  • Big Data Analysis Drives Revolution In Travel
  • Samsung and Jay-Z Accused of Using New Album to Mine Customer Data

What Kind Of Data Scientist Are You?

Our first article this week is a Fast Company piece about the new ebook our very own Harlan Harris, Marck Vaisman, and Sean Murphy authored. The ebook is about how there are actually multiple types of data scientists and the different combinations of skills and experience each type tends to have. The article provides some overview, some excerpts and graphics, and a link to the ebook as well.

Evernote’s Three Laws of Data Protection

This is a Smart Data Collective article about Evernote's stance on data protection and how it differs from other companies. Evernote is one of the most popular note-taking apps on the market, essentially letting you keep a copy of your brain out in the cloud where you can access it from anywhere and remember things your real brain may have forgotten. That being the case, the privacy of their users' data is of great importance to them.

Big Data Analysis Drives Revolution In Travel

Our third piece this week is an InformationWeek article about how data is revolutionizing the travel industry. We've all had to endure the frustrations that often come along with getting from point A to point B. This article highlights several companies and explains how they are using data to operate more efficiently and improve customer experiences.

Samsung and Jay-Z Accused of Using New Album to Mine Customer Data

Our final piece this week is a Time article about how Samsung and rapper Jay-Z offered early access to Jay's new album Magna Carta Holy Grail through an app on select Samsung mobile devices. The intent seemed to be for them to be able to collect some data about the types of customers that would want access to the album before the official release date. This article describes some of the data the app requested and talks about how this has raised some eyebrows about why they would need to collect the type of data they are collecting.

That's it for this week. Make sure to come back next week when we’ll have some more interesting articles! If there's something we missed, feel free to let us know in the comments below.

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Weekly Round-Up: NSA, Data Science History, Best Practices, and Robot Writers

Welcome back to the round-up, an overview of the most interesting data science, statistics, and analytics articles of the past week. This week, we have 4 fascinating articles ranging in topics from the NSA's data collection practices to machines writing for the CIA. In this week's round-up:

  • Under the Covers of the NSA’s Big Data Effort
  • A Very Short History Of Data Science
  • 7 Habits of Highly Successful Big Data Pioneers
  • CIA Invests in Narrative Science and Its Automated Writers

Under the Covers of the NSA’s Big Data Effort

This is an interesting article about the types of technologies the NSA is using in their data collection practices and what they can and can't do with those technologies. The article also hypothesizes as to how much data they are able to collect and analyze.

A Very Short History Of Data Science

For those interested in how data science originated and has progressed up until current day, this Forbes article should be a worthwhile read. The article starts off in 1962 with John W. Tukey's paper titled "The Future of Data Analysis" and walks you through major milestones in the field up through September of 2012 when Tom Davenport and DJ Patil declared data scientist the sexiest job of the 21st century.

7 Habits of Highly Successful Big Data Pioneers

In the spirit of the 7 Habits of Highly Effective People, this Smart Data Collective article lists 7 habits for succeeding as a big data practitioner. The habits listed range from planning properly and making wise financial decisions when evaluating technologies to being flexible and adaptable when obstacles present themselves.

CIA Invests in Narrative Science and Its Automated Writers

This is an interesting article about a company called Narrative Science and their services that will be used by the CIA and the broader intelligence community in the near future. The company's product is able to transform data into sentences automatically and is currently being used to write up sports summaries from box scores and earnings reports from stock data.

That's it for this week. Make sure to come back next week when we’ll have some more interesting articles! If there's something we missed, feel free to let us know in the comments below.

Read Our Other Round-Ups