	US 12,360,972 B2
	Method for assurance score determination on data sets
Lucas Arnoldus Hoogduin, Amstelveen (NL); and Marcel Boersma, Amstelveen (NL)
Assigned to KPMG Accountants N.V., Amstelveen (NL)
Filed by KPMG Accountants N.V., Amstelveen (NL)
Filed on Jun. 7, 2024, as Appl. No. 18/737,125.
Claims priority of application No. 2035026 (NL), filed on Jun. 7, 2023.
Prior Publication US 2024/0411739 A1, Dec. 12, 2024
Int. Cl. G06F 7/00 (2006.01); G06F 16/21 (2019.01); G06F 16/28 (2019.01); G06Q 40/06 (2012.01)

CPC G06F 16/219 (2019.01) [G06F 16/28 (2019.01); G06Q 40/06 (2013.01)]

13 Claims

1. 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, contemporary, 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 preferably 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 inter-parameter correlations is provided in the form of a linear model and calibrated by performing a linear regression analysis on the processed historical data sets of the linked parameters of said inter-parameter correlation, and

wherein predicting the projected value for the investigated parameter uses the linear model for the investigated value, and inputs the further values for the parameters in said linear model, excepting the further value for the investigated parameter.