Data

Companies today are faced with the crucial task of fully utilising data and artificial intelligence (AI) not only technically, but also strategically. Companies often only use these technologies selectively or reactively, without comprehensive integration into their data strategy and data management. The real value of data only becomes apparent when it is systematically and strategically integrated into new business models and innovative processes. Companies that do not consistently implement data strategy and management are wasting crucial potential for increasing efficiency, innovation and competitiveness.

Data and AI are fundamentally changing business processes and models and opening up completely new strategic perspectives. They not only enable the optimisation of existing processes, but also offer the opportunity to develop new, data-driven business models.

For example, data platforms in conjunction with AI analyses allow deeper insights into customer behaviour and needs, which leads to targeted and individualised product and service offerings. Without a clear data strategy and effective data management, companies risk being left behind in the competition for innovation and customer loyalty.

There is also the challenge of systematically monetising existing data. Many companies have enormous amounts of data whose potential for commercial utilisation remains largely untapped. To overcome this challenge, companies need a paradigm shift in their data organisation: away from centralised databases and towards a data mesh approach in which data is organised in a decentralised, high-quality and domain-specific manner. This will enable each business unit to react faster, more flexibly and more effectively to market changes and develop innovative data-based services.