Summary

The Schmarzo Economic Digital Asset Valuation Theorem provides a compelling economic reason for organizations to make the necessary investments in the creation, sharing, reuse, and continuous refinement of their data and analytic assets—assets that not only never deplete, never wear out and can be used across an unlimited number of use cases at near-zero marginal cost, but assets that appreciate in value the more that they are used.

In summary, by reusing the datasets and analytics modules, organizations thereby not only maintain but increase the economic value of their data and analytic modules. This affords organizations a once-in-a-generation opportunity to exploit the unique economic characteristics of their data, and analytic modules to derive and drive new sources of customer, product, and operational value buried in their data.

Following the guidelines outlined in this book and highlighted in this chapter, organizations can reap the game-changing effects...