Data & Analytics
Elements of an Effective Data & Analytics Function Paid Members Public
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 been that you need analysts and a platform for them to work with. Easy. Yet working in the real world
Why We Also Need To Talk About Analytics Ethics Paid Members Public
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 that organisations should respect this ownership. This means asking for consent to collect, store, and utilise this data, and similarly,
Evidence Shows That When Making Decisions, People Hate Experiments Paid Members Public
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 that today’s post might read like satire, so unbelievable is the topic. It concerns a study published in the
Is Your Work Resulting in Better Decisions? How You Can Make Sure Paid Members Public
Earlier this year we reflected on how important it is in analytics to start with the right question [https://qstar.ai/starting-with-the-right-question/] and to choose the right metrics for your organisation [https://qstar.ai/choosing-metrics-that-matter/]. Say you have indeed done so and have worked your way up the analytics value
In Data Visualisation, Be Careful Not to Confuse Style with Substance Paid Members Public
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. Thanks to products such as Looker, Tableau, and Qlik, anyone with basic digital skills can now design compelling charts, reports,
In Analytics, Look Beyond Last Mile and Think Last Twenty Nanometers Paid Members Public
The supply chain industry spends a lot of time worrying about the last mile. How do you ensure delivery to a customer’s front door happens reliably? Similarly, analytics teams puzzle over how to best deliver insights to their customers. Whether it is a discussion about how to visualise data,
Data Visualisation for Drunks Paid Members Public
Two months ago, I wrote an article [https://qstar.ai/data-visualisation-no-tools-required/] reflecting on how data visualisation is not primarily about creating charts, but should instead focus on effective communication through visual means. Today, I want to share one of my favourite principles for designing impactful visualisations: eliminate complexity. Or as
Data Quality: You Are What You Eat Paid Members Public
While for decades debates have raged about healthy eating and the diets supposed to enable this, over the last few years we have seen interest spike due to social media platforms such as Instagram [https://www.theguardian.com/lifeandstyle/2015/jun/27/new-wellness-bloggers-food-drink-hadley-freeman] . Wellness gurus and celebrity nutritionists exhort us