Data for CEOs: the no-jargon guide
Everything a CEO needs to know about data to make better decisions, without the technical complexity: what to ask for, what to measure and how to get results.
Read articleWhat a Chief Data Officer does, when a company needs the role, what alternatives exist, and how it fits with a managed data model.

As data gains strategic weight, many companies wonder whether they need a specific figure to lead it at the highest level. The Chief Data Officer answers that need, but not every organisation requires it.
The Chief Data Officer (CDO) is responsible for an organisation’s data strategy: how data is governed, protected and turned into business value, connecting technology with company goals.
The CDO role adds most value in large organisations, multi-entity groups or highly regulated sectors, where data is strategic and its governance complex. There, clear top-level responsibility prevents data from being orphaned between technology and business.
Not every company needs a full-time CDO. In mid-sized organisations, functions can be distributed and supported by an external partner. A managed data model complements the CDO: it frees them from the operational burden to focus on strategy and value.
A managed model frees the CDO from operating infrastructure to focus on strategy and value.
The CDO leads data strategy, governance and value — most valuable in large, multi-entity or regulated organisations. Mid-sized firms can distribute the role and lean on an external partner. A managed data model complements the CDO rather than replacing it, taking on the operational burden.
No. It adds most value in large, multi-entity or highly regulated organisations. In mid-sized ones, functions can be distributed and supported by an external partner.
It is a business role with a technical base. Its mission is to turn data into value and govern it, not to operate infrastructure.
It does not replace it; it complements it, taking on the operational burden and, where there is no CDO, part of the governance under business direction.
Sets the data strategy, oversees governance (quality, access, privacy, compliance), drives high-return use cases and promotes a data culture.
In large organisations, multi-entity groups or regulated sectors where data is strategic and governance is complex.
Distribute the functions among leadership and a part-time data lead, supported by an external partner that brings platform and expertise.
Tell us what you want to achieve. Data Layer connects, processes and delivers the result up and running, with no infrastructure for you to manage.