The truth about titles and tasks in the world of data
In the rapidly advancing digital and AI-driven business landscape, companies often face the dilemma of naming and defining roles, especially when it comes to managing and strategising data and its optimal use and monetisation. The debate around the role of the Chief Digital Officer (CDO) versus the need for a Chief Data Officer (CDO), Chief AI Officer (CAIO) or even Chief Data & AI Officers (CDAIO) is a shining example of this confusion. But does the solution really lie in creating new titles, or should we focus on sharpening up the roles that already exist?
If the data and process basics don't fit, the AI won't be able to make it fit either!
In the age of digitalisation, the merging of data and business processes is not just a possibility, but a necessity for companies that want to survive in a data-driven market environment. Visualising a model that represents this integration - as illustrated in the "Data Culture" diagram (see below) - provides a clear idea of how companies can reshape their strategy and culture to master this new reality.
Eine gute Data & AI Strategy ist das Fundament einer erfolgreichen Transformation zur Data Inspired Company
Die Entwicklung einer Daten- und KI-Strategie ist entscheidend für Unternehmen, die sich auf dem Weg zu einer dateninspirierten Unternehmenskultur befinden. Sie bildet den Grundstein für eine erfolgreiche Transformation und ist tief in der Wertschöpfung des Unternehmens verankert. Das „Why-How-What“-Prinzip liefert dabei den Rahmen für eine kohärente Strategie, die den Unternehmenswert maximiert.
