Thread by @v_vashishta

Most Data Strategies are missing a critical component. It's a Data Monetization Catalog, and they are not difficult to build. Here's my process:
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The process starts with the question, what use cases is this data used for? Use cases have business value, and it's a straight-line connection.
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I walk clients through this exercise, and it reveals excellent insights because data catalogs and dictionaries are connected to technical use cases but rarely to business use cases.

Here's what we most frequently find:
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1. Data teams spend a lot of their time working on low-value datasets.

2. Most datasets are underutilized, meaning they can improve analytics and model quality for existing use cases but aren't.
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3. The business has a lot of data that is no longer being used or should no longer be used. Those datasets have reached the end of life and should be archived.
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4. Many data use cases are underserved by their current datasets and need new data sources.

5. A few very high-value datasets are business-critical but lack governance best practices.
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The Data Monetization Catalog connects data's technical value and business value. It's an alignment tool that D&A orgs can use to keep their work and prioritization frameworks connected with the rest of the business.
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I wrote up a detailed process with resources that will teach you how to build a solid valuation for your data. It's a subscriber only post so sign up today.

vinvashishta.substack.com/p/the-first-st…

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