In a process involving decision making, both humans and machines prefer the data to be in a yes or no format. A number by itself to represent a quantifiable entity may not have enough value to make a decision until the data has been triangulated with other interrelated quantitative and qualitative data points and normalized onto a common scale. Our framework mentioned here in the proposal, helps in normalizing such quantitative and qualitative data from various data sources to a set of common metric for decision making.
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Maddali, Venkat; Kotla Venkata, Lakshmi Deepak; Natanasabapathy, Gautham; Fogaren, David C. Jr.; and Pathak, Umesh, "Normalized weightage framework to report tangible and non-tangible data from heterogeneous and dynamic data sources within a context to assist in decision alignment", Technical Disclosure Commons, (March 19, 2018)