Weekly Round-Up: WibiData, Big Data Trends, Analytics Processes, and Human Trafficking

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 Big Data trends to using data to fight human trafficking. In this week's round-up:

  • WibiData Gets $15M to Help It Become the Hadoop Application Company
  • 7 Big Data Trends That Will Impact Your Business
  • Want Better Analytics? Fix Your Processes
  • How Big Data is Being Used to Target Human Trafficking

WibiData Gets $15M to Help It Become the Hadoop Application Company

It was announced this week that Cloudera co-founder Christophe Bisciglia's new company, WibiData, has raised $15 million in a Series B round of financing. WibiData is looking to become a dominant player in the market by selling software that lets companies build consumer-facing applications on Hadoop. This article has additional details about the company and what they are trying to do.

7 Big Data Trends That Will Impact Your Business

We're all interested in seeing what the future of data science and Big Data have in store, and this article identifies 7 trends that the author thinks will continue to develop in the years ahead. Some general themes of the trends listed include predictions about platforms, structure, and programming languages.

Want Better Analytics? Fix Your Processes

In order to succeed in running a data-driven organization, you must have the proper analytical business processes in place so that any insights derived from your efforts can be applied to improving operations. In this article, the author proposes 5 principles to ensure analytics are used correctly and deliver the results the organization wants.

How Big Data is Being Used to Target Human Trafficking

Our last article this week is a piece about how Google announced recently that it will be partnering with other organizations in an effort to leverage data analytics in helping to fight human trafficking. Part of the effort will include aggregation of previously dispersed data and another part will consist of developing algorithms to identify patterns and better predict trafficking trends. This article lists additional details about the project.

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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