The Impact of AI on the Data Analyst

The introduction of AI, automation and data storytelling to the world of analytics has not only had an immediate impact on the end users of analytics but also the people that work in the field. While many analysts may fear they will be replaced by automation and AI, CEO of Yellowfin, Glen Rabie, believes that the role of the data analyst will increase in significance to the business and breadth of skills required.


Why data not anecdotes matter – election spin versus cold hard reality

So much of our decision making is made based on firmly held beliefs and stories we have absorbed in our lifetimes. Generally referred to as type one thinking – this is fast, emotional and generally unconscious. It is a type of thinking that is very useful for making day to day decisions like what to wear, what to have for lunch or how to get to work. However, this type of thinking is inherently flawed and full of bias.


How to Gather Data for Machine Learning

Unless you’ve been living in a cave these last few months (a cave that somehow carries sufficient WiFi coverage to reach our blog), you’ll doubtless have heard about machine learning. If you’re a developer, chances are you’re intrigued. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.


Everything I learned about leadership when I went from developer to product lead

In the last few posts, I’ve talked a lot about managing people and process. But a lot of the things I’ve learned are about the team lead role itself: things like how to find a balance between representing your team and representing your higher-ups, what to expect day-to-day — and why there’s no one right answer to any of this.


Firefox add-on outage: Yet another reminder for companies to enforce PKI life cycle automation

More often than we’d like to admit, we tend to underestimate the impact of every moving part within an organization—especially those that seem small or insignificant. And usually, it’s not until we’re facing the fallout of neglecting that seemingly insignificant factor when we realize what a mistake we’ve made.