You No Longer Have the Luxury of Ignoring Data Paid Members Public
Over the past years, many organisations have jumped on the analytics bandwagon in a quest to become more data driven. Whether they promoted senior leaders to champion data across the company, or visibly embarked on the development of data science functions, this was undoubtedly a fertile domain. Yet tales of
Dashboards, Visualisations, and the Illusion of Control Paid Members Public
With the US reporting more than 100,000 people infected with COVID-19 as of March 28, it is clear that things are going to get much worse before they get any better. Knowing what we do about the lack of consistent testing and data collection [https://qstar.ai/ten-data-challenges-we-face-with-covid-19-part-2/] – with
Ten Data Challenges We Face With COVID-19 (Pt. 2) Paid Members Public
The past week has been marked by differing levels of government responses. While some announced decisive policies, others went back and forth [https://www.bbc.com/news/science-environment-51892402] on the most appropriate course of action. Since COVID-19 was first acknowledged in December 2019 more than 10,000 people are confirmed
Ten Data Challenges We Face With COVID-19 (Pt. 1) Paid Members Public
On March 12 the WHO announced [https://www.bbc.com/news/world-europe-51876784] that "More cases are now being reported every day than were reported in China at the height of its epidemic," marking a new phase of the Coronavirus pandemic. Every day there seem to be more numbers
Why Your Analytics Transformation Needs Help From HR & Communications Paid Members Public
Those of you that I have worked with before know that I have a soft spot for HR and Corporate Comms. Not only are these teams often overworked and under resourced, but they tend to be staffed with some of the most engaged and empathetic colleagues you will meet. To
AI: A Team Effort Paid Members Public
With the explosion of interest in AI across businesses of all kinds, particularly in traditional industries, the emergence of new platforms and solutions have helped make AI more accessible. The latest versions of frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/] have made model building more
Permission To Land: Ensuring Analysis Has Value Paid Members Public
At the heart of it, the purpose of analysis is to drive better actions through informing better decision making. In this article, I will focus on one of the most important parts of this process; making sure the output lands well and drives action. When is the right time to
What To Look For In A Data Leadership Role Paid Members Public
A few months back, we shared a series of articles to help analysts and data scientists choose their next role (parts 1 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-1-of-4/] , 2 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-2-of-4/] , 3 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-3-of-4/] and 4 [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-4-of-4/] ). Here, I expand on t