— In the News —
Struggling to become analytics-driven? One or more of these issues is likely what’s holding your organization back. This McKinsey article targets decision-makers but also offers useful insights for people trying to understand the problems in the organization they're working for.
Google's Duplex technology made big waves in tech this week. If you haven't seen it in action, definitely check out this short video. It's amazing! That demo prompted a lot of discussion around the web this week about the ethics of AIs tricking humans. The suggested use-cases seem fairly trite but even so, this article on the Google AI Blog underscores how impressive the technology really is.
— Sponsored Link —
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— Tools and Techniques —
Incorporating privacy into your data products is not only possible, but with GDPR about to come online, it will become increasingly critical. Here's a good rundown of what's currently possible in privacy-preserving analytics. Includes useful linked references.
You may have heard your software teams talk about "technical debt" and how it can undermine their systems. It often occurs when engineers choose sub-optimal solutions in exchange for faster development. It's not necessarily bad but it's important to understand and manage. "Scientific debt" is similar but is related to data analytics. In this article, David Robinson explores what scientific debt looks like, how it occurs and how to manage it.
Python doesn't have to be slow.
— Resources —
The syllabus for this data ethics course at the University of Utah contains a fantastic collection of linked readings.
— Data Viz —
Although you might be tempted, here are 3 solid reasons to not use "double-y charts" and 4 good alternatives.
Cool project! This tutorial shows how to create realistic shadows from topographic maps using R. It's a great walk-through of the problems and how a new package called rayshader solves them.