Method for assurance score determination on data sets

Computer-implemented method for determining a value assurance score for an investigated parameter in an application by means of an assurance determination model, said method comprising the following steps:

• a. providing the assurance determination model, and adapting said assurance determination model to said application, said assurance determination model comprising a predetermined list of potential parameters, the adapting of the assurance determination model comprising:
• i. establishing one or more inter-parameter correlations between at least a subset of the potential parameters, where the correlations link at least two of the parameters of the subset;
• ii. processing historical data sets for a plurality of parameters from the predetermined list of potential parameters, said plurality of parameters comprising the investigated parameter;
• iii. providing the processed historical data sets to said assurance determination model;
• iv. calibrating the established inter-parameter correlations for the parameters for which the processed historical data sets are provided, based on said processed historical data sets;
• b. providing a further value for a second plurality of parameters from the predetermined list of potential parameters, said second plurality of parameters comprising the investigated parameter, the second plurality of parameters comprising the same parameters as the plurality of parameters;
• c. predicting a projected value for the investigated parameter based on the calibrated inter-parameter correlations of the assurance determination model and the further value or values for the second plurality of parameters;
• d. comparing the projected value for the investigated parameter with the further value for said investigated parameter;
• e. determining the value assurance score based on the comparison of the projected value with the further value for the investigated parameter, and wherein at least one of the one or more inter-parameter correlations is provided by a non-linear model, and
• wherein predicting the projected value for the investigated parameter uses the non-linear model for the investigated value, and inputs the further values for the parameters in said non-linear model, excepting the further value for the investigated parameter.