Data & Analytics

Care About Data Quality? Then Prepare to Let It Go Members Public

Ah, data quality: almost as popular a topic as tax returns. While people will gladly converse about the weather at company events, try to bring up data quality more than once and you can find yourself struck off the guest list. Yet data quality is critical. Organisations need to avoid

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Lessons 2020 Taught Us About Data and Analytics Members Public

The paradox of the difficult periods of our lives is that while we are keen to bid them farewell and forget them, they are often sources for some of the richest lessons. In that regard, 2020's pandemic was no different. Whether it relates to the depth of personal

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Introducing the API Team: Assets, Products, Impact Members Public

I am frequently asked how our data, analytics, and AI team at Chalhoub [http://www.chalhoubgroup.com/] is organised. While data leaders generally agree on roles such as data engineers or data analysts, what their teams' structure and operating model should look like is less clear. Do you stick

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Data and Analytics Leaders, Now Is Your Time To Shine Members Public

As some countries are slowly reopening, albeit with major concessions to the post-pandemic reality, organisations face a challenging future. Even the most lucrative technology companies are not spared as they struggle with the cultural and mental health implications of employees' prolonged isolation and dispersion. While humans have a tendency

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Dashboards, Visualisations, and the Illusion of Control 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

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Ten Data Challenges We Face With COVID-19 (Pt. 2) 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

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Ten Data Challenges We Face With COVID-19 (Pt. 1) 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

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics

Elements of an Effective Data & Analytics Function 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

Ryan den Rooijen
Ryan den Rooijen
Data & Analytics