<img height="1" width="1" style="display:none;" alt="" src="https://dc.ads.linkedin.com/collect/?pid=306561&amp;fmt=gif">

Video: Data Conversations Over Coffee with Ryan den Rooijen

Written by Craig Steward

Video: Data Conversations Over Coffee with Ryan den Rooijen

Written by Craig Steward on Jun 3, 2020 11:39:56 AM

Data and Analytics

In episode 12 we talk to Ryan den Rooijen about moving from POC to production to adoption at one of the Middle East's largest luxury goods retailers. 

Ryan is the Group Head of Data & Analytics at Chalhoub Group based in Dubai. He joined the company 9 months ago and walked into an organisation that was already fairly well down the path of becoming a data-driven enterprise. So his role has been to capitalise on that foundation and drive the deployment of valuable data products across the group. 

In this episode Ryan covers:

  • Tips for taking products from POC into production
  • How to be ruthless when picking which areas to focus on
  • The importance of co-creation of models between his team and business
  • Tips for nurturing data science talent
  • For more of Ryan's thoughts on data, analytics, and AI, see his blog at https://Qstar.ai


DataCon Africa: Live is a 100% virtual conference and will connect Africa's most progressive data analytics leaders with the world's most forward-thinking solution providers, set against a backdrop of cutting-edge content that you cannot find anywhere else. At home, in the office or on the road.


Data Quality Training Online 

About the Course

In an age where data analytics is used to drive decision making across every facet of a business ensuring the quality of your data is paramount to your organisation's success. The adage "garbage in, garbage out" may be cliched but it describes, perfectly, the critical importance of high quality data being fed into sophisticated models. 

Corinium has partnered with InfoBluePrint to bring you the most comprehensive data quality management course delivered through a state-of-the-art webinar platform. 

The course structure is 8 modules spread over 4 days by our leading trainers - Diana Joseph and Joe Newbert. The 8 modules are:

  1. Data Quality Awareness
  2. Data Quality in Context
  3. Data Assessment
  4. Business & User Requirements
  5. Data Measurement
  6. Data Correction
  7. Problem Prevention
  8. Context of Data Management


Related posts