This week, we encountered several interesting data articles and blog posts we thought were worthwhile for the round-up. As this year comes to a close, we were reminded of how much noise is out there about data, having to sift through hundreds of "Year in Review" and "Big Data Predictions for 2013" articles that are currently being published. We chose to bypass those for this round-up in favor of focusing on longer term trends, interesting ways data is being used, and important things to consider when handling data. Happy New Year, everyone!
In this week's round-up:
- We don't need more data scientists, just make big data easier to use
- The Secret Life of Data in the Year 2020
- Open data is not a panacea
- The Danger Of Big Data
- How Missile Tracking Cameras Are Remaking The NBA
This is an interesting GigaOM article in which Scott Brave of Baynote argues that in order to make big data available to the masses, what we need is not more data scientists but simpler tools so that the people who need the information to make decisions have the ability to access it themselves.
In this article, Intel futurist Brian David Johnson explains his vision for the future uses of data in the coming years. Some of the things he touches on are smarter tracking of personal statistics, algorithms that talk to machines and other algorithms, important considerations that need to be kept in mind in order to design all these things, and some overarching concepts that that touch on humanness, intelligence, and inter-connectivity.
This is a blog post by Cathy O'Neil on her blog, Mathbabe, containing some insights about open data, the way it's generally defined, people's reactions to it, and some pragmatic ways to think about the issues surrounding it.
In this article, Kerry Bodine from Forrester Research warns us about the dangers of relying too heavily on quantitative analysis and not enough on qualitative research. Kerry explains how she sees this more and more in her line of work and provides some effective ways to combine both the quantitative and the qualitative research to gain a better understanding of what we are looking at.
This Fast Company article describes new ways basketball teams are using data (with the help of cameras that were formerly used for missile tracking). The NBA teams are using these cameras to help them track everything that happens in a game and use algorithms to identify patterns and trends. Check out the article for more details.
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.