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Data-as-a-Product and Data-Contract: An evolutionary approach to data maturity


Using Simon Wardley’s evolution model, I propose a framework for visualizing the maturity of data within a business context, emphasizing the importance of treating data as a product and implementing data contracts to facilitate integration and ensure trust. Ultimately, I suggest that starting with a focus on data-as-a-product is crucial for organizations embarking on their data mesh journey, paving the way for a comprehensive and agile transformation.

When the supply of these chips is low due to market shortages or logistic issues, the company faces high uncertainty regarding its production schedules and ability to meet customer demand. The analysis of the model allowed for formalizing four steps of evolution labeled by default Genesis, Custom built, Product, and Commodity: It is projected as an effective solution to an imperative issue: its significant importance becomes evident as data migrates from a single application sphere into the broader domain.

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