It’s becoming more and more clearly recognized that the promises of the machine-learning revolution, at least for your average non-big-tech company, are not delivering the value that many had hoped for. That is, many executives are looking at the fleet of data scientists they hired and not seeing the return on investment they were hoping for. Here’s a quote from one of many articles discussing the problem:
…Seven out of 10 executives whose companies had made
There’s been a lot of discussion lately about systems for doing version control for data. Most recently, Ryan Gross wrote a blog post “The Rise of DataOps” where he
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For the last year or so I’ve been working on building a software application to help marketers allocate their marketing spend. This software is statistics and data-science powered and my
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While efforts to build a data dictionary are often undertaken out of a zeal for documentation that we would normally applaud, in practice data dictionaries and data catalogs end up
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During my time leading an analytics and data science team, I spent a lot of time thinking about how an ideal analytics team should
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The landscape of the data and analytics world is shifting rapidly. In many companies, the roles and responsibilities of data engineers, analysts, and data scientists are changing. This change has
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The notion of an A/B test is premised on the fundamentally flawed assumption that there exists one version of some treatment that is better on average for all users. Analytics
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I have spoken to many fellow analytics practitioners who are adament that they want their team to never touch “production.” While there are good reasons to be careful whenever you make changes
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Often, Data and Analytics teams go under-utilized in their organization because they can not collaborate effectively with the broader Technology and Software Engineering teams.
By designing software following the “code
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There has been a lot of discussion in the data science community about the use of black-box models, and there is lots of really fascinating ongoing research into methods, algorithms, and tools to
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