Elevator pitch for BI and AI use cases?!

Sometimes, data use case names such as "Market Spend Efficiency" or "Predictive Maintenance" can trigger a different understanding to different stakeholders. When collecting or innovating data use cases in client projects or workshops, we usually document the use case in some kind of canvas including challenge, desired impact, stakeholders, risks and other aspects. This is good for documentation, but not for quick communication to a wide range of audiences.

We therefore came up with “Data Value Stories”, a short concise way to document and communicate data use cases. Like User Stories, which are used in software development to formulate product requirements, Data Value Stories use a structured template for describing the data use case in one sentence. Mirroring the data value chain, an example can look as shown in the graphic.

How do you communicate your data use cases to executives? Happy to receive feedback and suggestions!

Thanks Christoph Goertz, Martin Gries for discussing the concept!