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Introduction to Data Monetization
As an early adopter of this cutting-edge platform, you will uncover internal and customer revenue growth opportunities. By distilling the knowledge generated by data, you can improve your customer’s experience and strengthen loyalty.
This course contains a step-by-step guide to data valuation including identification of datasets, creation of business cases, value realization and mapping to the data balance sheet. The course provides an in depth perspective on data valuation methodologies. The course provides a perspective on mapping of business cases to stakeholders. Finally, the course ends with a module on mapping data monetization to the overall value of the company.
Data Risk Registry
Data risks are too often an afterthought for enterprise risk functions, which instead tend to focus on operational, financial, and third-party risk. The YDC™ Data Risk Registry provides an end-to-end data risk management solution for identifying, quantifying, and tracking data risks across the enterprise.
A data exchange is an online catalog of datasets that allows for the internal or external monetization of data. The data exchange allows organizations to list curated data sets and other reusable data assets. The data exchange supports the Publisher, Administrator and Subscriber personas.
Data Balance Sheet
The course covers the essentials of populating the chart of accounts for a data balance sheet. The course also covers the fundamentals behind placing the Net Present Value of Data Management spend as a liability on the data balance sheet. Finally, the course addresses the concept of the Unidentified difference between data assets and liabilities.
Industries and Datasets
This course provides deeper insights into data monetization methodologies for specific industry use cases and datasets. The course includes a module on employee data valuation methodologies using LinkedIn and Workday as comparables. A separate module covers data monetization for supply chain. The third module covers valuation for clinical trials data in life sciences. The course ends with a module on valuation of smart meter data in the utilities industry.