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To properly reflect the value of their digital two critical inflection points:
assets, executives must embrace an Inflection Point #1 is where organizations
economics mindset where the value of an transition from data as a cost to be minimized,
assets is determined from the use of that to data as an economic asset to be monetized.
asset. This is critical given the unique I call this the “Prove and Expand Value”
economic characteristics of digital assets – inflection point.
they never wear out, never deplete, can be used
across an unlimited number of use cases at Inflection Point #2 is where organizations
zero marginal cost, and they can appreciate, master the economics of data and analytics by
not depreciate, in value they more that they are creating composable, reusable, and
used (if properly engineered). continuously-learning and adapting digital
Mastering the Data Monetization assets that can scale the organization's data
monetization capabilities. I call this the “Scale
Roadmap Value” inflection point.
I introduced the Data Monetization Inflection Point #1: Proving and
Roadmap in “Introducing the “4 Stages of Data
Monetization” as a guide to help organizations Expanding Value
in their data monetization journey. The This pivot point is where the organization
roadmap emphasizes that the driver of data makes the transition from just capturing,
monetization is in the use or application of the storing, securing, and governing data to
data to create value. That is, the value of data actually monetizing it. How do you get
isn't in possession but in the application of the organizations to make that first pivot towards
data to create new sources of customer, Data Monetization? How can one help the
product, and operational value. business stakeholders to connect to and
As organizations negotiate the Data envision where and how data and analytics can
Monetization Roadmap, they will encounter generate value (see Figure 2)?
Figure : Data Monetization Roadmap Inflection Point #1. Author image
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