Data value refers to the value of data to the organization.  Some methods to assess data's value include looking at the benefits to the organization's revenue from higher quality decisions based on better quality data, assessing the replacement cost, determining the amount of money spent on maintaining data and remediating data-related risks, quantifying the impact if the organization had no data, estimating the amount that data would contribute to the value of the organization in an acquisition, etc.  Data Valuation strategies can be used to seek opportunities to monetize data or improve data-related decision making within the organization (e.g., justifying appropriate investment in Data Governance).

This presentation outlines strategies for evaluating and quantifying the monetary value of an organization's data assets.  The talk explores essential methodologies and best practices for conducting a comprehensive data valuation assessment, addressing key components such as timeliness and data quality.  By the end of the presentation, attendees will be equipped with the frameworks necessary to better understand the hidden value of their data assets.

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