Debrief from #datavizlive event in London 2020, sharing key lessons from engaging Data Viz authors & practitioners, with tips for your Data Viz (1 of 2)
Do you have projects that are too big for Agile? Do you know about AgilePM? Investigating why this might be a middle way for Data & Analytics leaders.
How can you avoid stakeholder disappointment when deivering analysis or models? Guest blogger, Harry Powell, shares a model for finding optimal time to stop.
Why non Data Scientists can lead Data Science teams well. Guest blogger, Andy Sutton makes the case for generalist leaders with the right leadership skills.
Continuing our posts on how to achieve success at work, let’s turn to the power of empathy. This might sound far removed from the worlds of Analytics & Data Science, but as we saw with Hackathons, it can be a vital step. To help bring to life how greater empathy could breakthrough barriers for your Data Science projects, I am delighted to welcome back Ryan. Guest blogger Ryan Den Rooijen.. Read More
The case for Data Science teams being more methodical and an overview of the 3 most established methodologies used by Data Scientists today. Part 1 of 2.
How to succeed at Unicorn Farming. Part 2 of 2-part series from Ryan Den Rooijen on how to recruit & develop your Data Science team.