Data and AI Strategy

Dataspaces offer organizations tremendous potential for secure data sharing and collaboration. However, rushing into these ecosystems without proper preparation often leads to disappointment.

Before joining a dataspace, companies should develop a data and AI strategy that addresses the purpose and value of data, a governance framework, technical capabilities, AI Readiness and a data culture.

Without this foundation, organizations risk contributing poor-quality data, creating security vulnerabilities, facing compliance issues, wasting resources, and encountering internal resistance.

The journey to successful dataspace participation begins not with technical integration but with strategic clarity. By establishing a strong data and AI strategy first, companies position themselves to extract maximum value from these emerging ecosystems while contributing meaningfully to their success. Organizations that recognize this sequence — strategy before participation — will be best positioned to thrive in the collaborative data economy of the future.

As codecentric we offer free and nonbinding expert hours to take the first step towards a data and AI strategy followed by an individual offering tailored to the company’s needs, goals and capabilities.