Guidebook: Measuring the half life of data
The ability to process and analyze data continues to become cheaper and more rapid. However, the proliferation of internal and external data leaves decision makers challenged in how to devote finite resources to exploit actionable data. Nucleus found the scientific concept of half life can also be applied to data to measure both its initial and diminishing value, and to plan a data management strategy reflective of that value. The half life of data depends not on industry or data source but on four factors impacting the way companies manage their products’ lifecycles.
There is a companion Inforgraphic for this report: M46: Measuring the half life of data.