The half life of data
As the volume of data grows exponentially, organizations need to change their view of data from a data centric model, to a user centric model. Data is a moving object and at every point in time there is new data being created and collected. That data has a higher initial value that decreases over time. Leveraging the framework of the half-life of data, companies have a guideline on delivering the value of data to the user before its value expire. By treating data as a time-sensitive asset, and viewing it from the consumer’s point of view, organizations will be able to drive a higher ROI from their analytics and data deployments through better capture and distribution.
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