Pricing models for industrial data

Motivation und Herausforderung

• Although enormous amounts of data are generated in industrial value creation systems, there is currently little knowledge about the monetary equivalent value.
• This knowledge gap is a major barrier to competitive pricing.

Ziel

• Development of pricing models and strategies for pricing industrial data
• Derive and define appropriate KPIs to assess benefits and potentials for industry data pricing.

Vorgehensweise

• Determination of a pricing approach: Identification and description of possible approaches
• Analysis of possible value contributions: Alignment of pricing approaches with the types of value contribution of the roles involved.
• Derivation of KPIs: Identification and characterization of suitable KPIs for pricing approaches.