The expected outcome of the challenge is threefold:
Overview of lessons-learned / opportunities & risks when participating in the data economy.
Overview of available options for participating in the B2B data economy.
Evaluation (advantages, disadvantages, risk, …) of participation alternatives for a specialty chemical company.
The effort should touch at least upon the following related questions:
- What are current examples of data supply and demand between B2B players? What were related learnings?
- Next to GAIA-X, IDSA and the Telekom DIH, what other or similar solutions / approaches for facilitating the data economy are available?
- What role will / does open source data play in the B2B data economy?
- How would a company internal data infrastructure look like to optimally participate in the data economy?
- When treating data as an asset or potentially pricing data, what are the implications on tax, data governance, accounting, legal,
- Would Evonik, as a specialty chemical provider, be predominantly a consumer or a provider of data?
- Should Evonik try to utilize externally provided platforms and structures (like the Telekom DIH), engage intermediaries (like EY) or work on a case-by-case contractual approach (in-house)?
The need for support is hence related to building a general concept and approach, which only in the next step (not necessarily part of the challenge) could potentially be piloted on an existing or new use case. For added clarity, this challenge is not about making use of the data (analytics).