Industrial company

Smart data platform as a data and data value broker

Starting point

  • Search: Data hub enabling data-driven business models
  • The economic value of data from digital products should become transparent
  • Data processing must be automated to ensure transparency and reliability

Procedure

  • Applying the guide to determine the current status and maturity level
  • Classification of the need for action
  • Data flows in relation to stakeholders highlight information and value flows
  • Definition of the target architecture 'Smart Data Platform' as a data broker
  • Definition of implementation pathways

Features/Project outcome

  • Metadata document the responsibilities and usage of data flows
  • Full automation of data processing reduces complexity
  • Decoupling of data through the data broker
  • Creation, flow, and usage of data become transparent through metadata
  • The value of data is measurable and monetizable

Customer benefits

  • The Smart Data Platform creates the technological foundation for new data-driven business models
  • With the Data-as-a-Value approach, the company determines the economic value of its data
  • Data can be monetized, as its contribution to value creation is measurable
  • More efficient data management within the company
 
Marco Bruno | Senior Manager / Authorised Officer