Data strategy matters to both business and tech. It’s a problem that sits in the center of a Venn diagram, and if we get stuck thinking of those two domains as existing solely in completely separate silos, we’ll lock ourselves out of that key middle ground where the really important problems get solved.
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This post shares links that illustrate how some financial services organizations are using data science and data analytics to innovate and improve their products and services and become more data-driven.
In this post, Julie talks about the necessary skills for a CDO, as learned through her research for the “Understanding the Chief Data Officer” report.
In this revamped classic, Edd looks at the challenges of moving forward with a new architecture, and where you need to start.
In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays.
At the Strata + Hadoop World conference in New York last week, there were an impressive 16 tracks of session talks. A lot of them focused on the tools that everyone is excited about, but I focused on the goals people are using data science to accomplish. Here are a few of the sessions that stood out.
In this post, we’ll cover the difference between data rights versus privacy and security, and you’ll be introduced to some projects that show how the technology industry is evolving to develop scalable solutions around intersecting concerns in data management and authorization.
We’re at Enterprise Dataversity this week in Chicago, and next week we’ll be in NYC for Strata + Hadoop World. In the midst of this busy September, here are some articles we’ve come across and enjoyed.
Editor’s note: Welcome to Throwback Thursdays! Every third Thursday of the month, we feature a classic post from the earlier days of our company, gently updated as appropriate. We still find them helpful, and we think you will, too! The original version of this post can be found here. The Jupyter Notebook is a fantastic […]