DATA-READINESS

In the data sciences, data quality is a prerequisite for success. So the fact that we don't have a common language for describing the status of our data is a severe constraint. Imagine if, when you are talking about data, you can qualify its readiness. Imagine that you can use a few terms to develop an immediate sense of what investment is required to extract the value from the data... Data Readiness levels allow managers and decision makers to understand project status, and where investment is needed without intimate familiarity with the data itself... Site for developing consensus on the use of common sub bands for describing data readiness.