
Beware Tech Advocates Bearing Certainty Paid Members Public
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, or capacity yet to guarantee the success of such a move. Yet they must jump! This is particularly true when

How Did Enterprise Data Science & AI Fare in 2019? Paid Members Public
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 we wanted to achieve, or not? Similarly, let us consider how data science and AI fared in the

'Twas the Post Before Christmas (2019 Edition) Paid Members Public
'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 review, In hopes of sharing some useful insights with you; First off, I can say, with a degree of

When Not to Use Analytics Paid Members Public
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 sensible course of action, it is just as important to consider when not to use data. As they say: if

Data Product Managers, Not Just Project Managers Paid Members Public
As we reviewed last week [https://qstar.ai/elements-of-an-effective-data-analytics-function/], 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 data quality analyst or data architect are usually easy for the business to grasp, data product

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,

CDO? Sadly, Often the CCO is the Real Data Authority Paid Members Public
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 will given those of you who want to close this tab the opportunity to do so. When I refer to