Many organisations are forced to take a leap of faith. Under pressure from consumers or shareholders they know they need to transform, but they might not have the comprehension, capability,

This is the time of year where many of us find ourselves reflecting on our performance. Did we stick with those New Year's resolutions, or not? Did we achieve what

'Twas the post before Christmas, fifty-two on this blog, It was due this morning, but Ryan slept like a log; Yet this seems a good time, for the year to

In my fifty weekly posts so far this year, almost every single one has advocated for the application of analytics and artificial intelligence (AI). While this is often the most

As we reviewed last week, building an impactful data, analytics, and AI capability requires a range of new roles and competencies. While the scope and responsibilites of roles such as

What does it take for an organisation to be able to perform analytics in a scalable (read: beyond Excel) manner? When I worked at Google, my instinctive answer would have

Over the last few years there has been an increased focus on data ethics. People are waking up to the fact that in many cases it is their data and

I am not a seasoned writer. If I was I would save the punchline for the last paragraph, forcing you to wade through another six hundred odd words. Instead, I

Welcome to the final part of our four-part series on choosing your next data science or analytics role. We have covered a lot of ground so far: from choosing the

Welcome to the penultimate installment of our four-part series on choosing your next analytics or data science role. So far we examined Location & Timing in Part One, and Industry

Welcome to Part Two in our four-part series on choosing your next data science or analytics role. In Part One, we looked at the question of role Location & Timing.

While jobs in analytics and AI can be both exciting and lucrative, employee attrition in these roles tends to be high. It is not uncommon to see data scientists move

Arriving in a new country, you are faced with a lot of differences in customs, traditions, and culture. These changes are heightened when you move to a new region entirely.

This week I started a new job. As this is a role at a different company and in a different country, this means a lot of change. Many people have

I am certain that I have on more than one occasion mentioned how important it is to consciously make decisions. Because analytics is the art of making better decisions using

As demonstrated by the global demand for talent, most organisations have now woken up to the importance and potential impact of data, analytics, and AI. Yet discussions with employees across

At work I spend a lot of time thinking about machine learning (ML), both in terms of how to apply it and the practicalities of enabling an organisation to do

We like to think that this blog, while born out of a trivial New Year’s resolution, has managed to become a reasonably serious outlet. That said, we fully appreciate

Ah, data quality. Almost as unpopular a cocktail party topic as data governance. Yet like that walking punchline Chandler Bing, data quality is about to enter its defining decade. It

Another quarter, another review. Your organisation is worried advertising costs are rising. Spend is up significantly on video ads and worse, so is their cost per view (CPV). What is

Have you ever tried to build a strategy around a difficult topic and found yourself overwhelmed by the decisions in front of you? Perhaps it seemed like there was no

Though you might not have realised it if you live in England, summer is here. Once upon a time, this meant kids would take to the sidewalks to hawk their

Earlier this year we reflected on how important it is in analytics to start with the right question and to choose the right metrics for your organisation. Say you have

As anyone working in data and analytics will be aware, most roles face a shortage of qualified candidates. Ensuring your organisation has a strong talent development framework is therefore critical

Business intelligence tools and visualisation libraries are better today than ever. Not only is it easier to create data visualisations, but it is easier to create better looking ones too.