As data and analytics models become increasingly used for both human decision making and automated processes, reliable alerting has become an essential component of the modern data stack.
This is the second post in this series, which refers back to the first part quite a bit, so I'd highly recommend going back and reading the first part if you haven't already.
Many people are rediscovering bread, and many organisations are rediscovering data. Both are things that people are devoting considerable time and attention to right now to provide reassurance, grounding and direction in what is otherwise a bewildering time.
We have an overwhelming number of positive reviews on Trustpilot, and many customers telling us how much they love what we do. I took a deep dive into our review data, and discovered that we're the most loved UK pet food brand.
Technology is constantly changing and we want to stay ahead of the game, but how do we do this in a safe, and more importantly fun way? Hello Hackday!
We use dbt to version control our analytical logic, it's a great tool and has really step changed the way we keep track of how that logic changes over time and enabled an ever growing team to contribute to it.
NumPy is your loyal friend in Python you may never know you had, and this library helps make Data Science in Python possible.
As a subscription business, lifetime value is a very important metric for us, and this metric underpins a lot of spending and prioritising decisions for us at tails.com.
Like lots of fast growing tech startups, our data needs at Tails.com have changed significantly over the years. It's been a very fast journey where it's not always been obvious where to turn next.
Like many Data Scientists working in industry right now, I was previously an academic who at some point made the decision to leave academia and get a 'real job'.