How to Structure a Data-Driven Organization

80% of European data-driven companies claim to have an advantage over their less data-friendly peers, according to YouGov. 

So, how can your organization become more data-driven and implement a more effective data governance strategy?

Discover the DataGalaxy white paper: How to Structure a Data-Driven Organization to discover tips and tricks to helping your company transform your data management from a potential liability to an organizational asset.



Over 60 organizations have already used the information in this white paper to become more data-driven!



Part 1: Data Governance: Questions to ask yourself before getting started


Part 2: What structure should you adopt for your business?


Part 3: Create and manage a data team


Part 4: Create a sustainable governance approach



Transform into a More Data-Driven Company!

Do you want your organization to create a strong Data Governance strategy? There is no miracle formula!  You must structure your entire data-driven organizational plan according to your company's unique situation.

Don't wait any longer to set up your data governance today plan - Download downloading the guide today!

Create and Manage a Data Team

Building a data team that works best for you depends on the size of your business, the industry you operate in, and your data maturity level.

Often, data governance is taken care of by a few people from the IT department: They take care of it in a very operational way to broaden the scope of your actions and assign key roles to your business teams.

Remember: Every company is different! The miracle recipe does not exist. These roles need to be tailored and assigned based on how your business operates.

Plan de travail 1

"Distribute the roles to those who not only have the required expertise, but who also have an ambassador profile. These are people who are motivated by data governance and are able to communicate their passion to other businesses. For the head of global strategy, like the CDO, don't start with an overly technical profile. You risk not going beyond data management issues (quality, architecture, interoperability, etc.) by leaving aside change management."

Sebastien Thomas 
DataGalaxy CEO & Co-Founder