With the Data Product/Service Design, the customer receives a detailed concept, tailored to the customer's needs and characteristics, on the basis of which a data-driven product and/or service can be systematically implemented.
- Data Product/Service Canvas
- Data Product Blueprint
- Data Service Blueprint = service process map with various views of the service and the data
- Business Model Canvas / Revenue Model
Within the framework of Data Product/Service Design, concrete data-driven products and/or services are conceptualized. The starting point is the Data Product/Service Canvas developed by the Know-Center as well as the Service Blueprinting (Service Blueprinting is a method for analysis, visualization and optimization of service processes). The Data Product Blueprint aims at identifying, processing, aggregating, etc. data (sources) in order to generate a specific customer benefit or to satisfy a customer need. A Data Product is relevant for more than one user, is produced with predictable quality, is produced or goes through a production process, is managed within a product life cycle and serves a market.
The Data Service Blueprint is an extension of the Data Product Blueprint in that it takes into account the service characteristics of a Data Product. It combines both the customer's and the provider's view of the service in the individual process steps. In a data-driven approach, the data view is also illuminated for each process step. Which data is generated - is this data internal or external and which new data is generated by it - and how is this data used/utilized. As part of the Data Product/Service Design, the monetization or revenue model can also be optionally developed.