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S3 | Ep 30 | What Even is a Data Product...with Bethany Lyons, Chief Product Officer at Kawa Analytics
Driven by Data: The Podcast
The Differences Between Regular Products and Data Products
With data products, the line between raw material and product is less well defined. For an analyst who wants to be able to do some segmentation by who lives in which areas, they need to do a whole bunch of data preparation for it. So that's one big difference. In a traditional product, your supply chain is linear. It goes from raw material to finished product in a very linear way. Whereas with data products, we want to turn this linear process into more of an iterative feedback cycle,. whereby as somebody's making customizations and refinements to a product, that ends up getting fed back into the upstream process That makes that product resellable to other customers.
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