CDO EXCHANGE 2020 – KEY TAKEAWAYS

Given the circumstances we all need to face nowadays, CDO Exchange 2020 was organized last week in an adjusted online way. Regardless of the non-traditional approach, this still turned out to be an interesting forum for leaders active in the data domain (CDO – Chief Data Officers and others). The event was chaired by Bloor Research Brian Jones.

The event opened with a strong focus on data program fundamentals like stakeholder management and business case creation.  The second part was all about AI and data driven value creation including the necessary attention on the important data ethics topic.

Key Takeaways


  • No data program or initiative without a purpose. Sounds like basic but so true. It’s not the first time that that a data initiative is kicked off because it’s innovative but at the end doesn’t address any real business need.
  • In order to be successful you need to inform business leaders at all levels. Not just C-level but all leadership in your business stakeholder community. Of course, these business leaders also need to be open to listen. Reading tip: Also have see our post about MDM business case building.
  • Correctly translating business needs is important but also understanding the right priorities is key. What are my real burning data platforms?
  • In the AI, ML, …. Basically the data science context, we are happy to see that a substantial number of business leaders managed to gain understanding of the most important principles of data science. Pay the necessary attention to this in your organization and make sure that you also remove the data  & data science ‘language barrier’.
  • Don’t forget the company politics. In some organizations you will need to cope with individuals attempting to sabotage constructive change if it was ‘not invented here’ or ‘owned by us’. This point of attention was valid before, but unfortunately is still there and definitely present in the context of data programs.
  • Ethics is not about a choice, it’s an obligation. Data can be powerful and can potentially deliver huge value. Besides this potential, it also comes with a duty of care. In an era where customer centricity is vital, you need to make sure that your data management is objective, trustworthy and transparent to your customers and other stakeholders.
  • Ethics carry a cost. However the cost of not doing things right is much higher. Think about the overall and longer term reputationally and commercially cost.



Do you have a data management question or require some level of support with a data initiative in your organization? Feel to reach out to us and schedule a free sync session.



WATCH PROF. DR. PIETER BALLON – IMEC & BART VANDEREIJT – CARREFOUR AT BIG DATA & ANALYTICS 2017, 7/12/2017

WATCH STEPHEN BROBST KEYNOTE AT BUSINESS ANALYTICS INSIGHT 2016, BRUSSELS 18/10/2016

2017 looks like another challenging year for the analytical community. What is a durable trend? Where is the hype and how does your organization cope with it? These questions will be addressed at the next Business Analytics 2016 conference from inspiration with keynote speakers like Stephen Brobst to the peer exchanges that always deliver new ideas.

Brobst’s keynote on data warehousing in a virtual world will explore the trade-offs between different architectures, cloud economics and best practices in cloud computing strategy.

Stephen Brobst, elected among the top 5 CTOs from 10.000 CTOs in the States. His keynote on data warehousing in a virtual world will explore the trade-offs between different architectures, cloud economics and best practices in cloud computing strategy. 

Next to Stephen Brobst keynote there are more reasons to mark this day. With topics like data virtualisation, visual analytics or data as a service this conference will challenge your ideas on analytics! Meet Datalumen and let’s have a talk at the Business Analytics Insight 2016 conference about your data agenda. 


Schedule a meeting here

Datalumen’s Luc Delanglez will also host an afternoon session (13:15) and explain you how Data Virtualization can help you making data consumable for business in a transparent and easy way.