Data-based business

Professional and efficient monetization of data resources and data streams accumulating in customer interfaces.

Parties

• Service provider as a party to the data business
  
• Partners in cloud computing or data production as a subcontractor
  
• Customers as users of raw data or processed products

Business Model

• Models based on the amount of data
  
• Models based on data processing value
  
• Models suitable for real-time and / or forecasting
  
• Interactive models, e.g., the use of data to generate new data
  
• Models suitable for the use of artificial intelligence

Technical enablers / features:

Competences:

• Cloud services and architectures
  
• Open APIs to support user community connectivity and scalability
  
• Intuitive interfaces to facilitate analytics processes
  
• Effectiveness of learning from data
  
• Automation of data generation, eg with IoT / metadata combinations

• Data business expertise and data value lifecycle expertise
  
• Digitization of services to the cloud, usability of data through interfaces
  
• Continuous and efficient collection of real-time data
  
• Utilizing data analytics to develop customer needs and service experience
  
• Security and privacy solutions
  
• Utilization of materials in different channels

​Below are the most important keywords and word pairs. Click on the icons to see what the Google search engine has to say about the subject and what kind of videos can be found on YouTube.

Mobility as a Service (MaaS)

Data Lake

​Two-sided markets

Ecommerce platform​