AUTOMATED RISK-ASSESSMENT SYSTEM AND METHODS

1 . A method for identifying risk of noncompliance in a supply chain, comprising:

ingesting, by a risk-assessment system, audit data corresponding an entity, the audit data being in the form of one or more questionnaires;

formatting, by the risk-assessment system, the audit data according to a predetermined format where each question within a questionnaire is assigned a corresponding unique code;

indexing, by the risk-assessment system, the corresponding unique code for each question of the questionnaire;

generating, by the risk-assessment system, a question identifier that includes a concatenation of one or more unique codes for a particular question, such that every question within the questionnaire has a corresponding question identifier;

calculating, by the risk-assessment system, a likelihood of a particular violation occurring within the entity in the supply chain by dividing the number of unique identifiers for the particular violation that have a fail response by the total number of unique identifiers for the particular violation;

generating, by the risk assessment system, based on the audit data and the calculated likelihood of occurrence, an interactive dashboard; and

displaying, by the risk assessment system, the interactive dashboard within a user interface.

2 . The method of claim 1 , further comprising:

calculating, by the risk-assessment system, a severity of occurrence for the particular violation in the supply chain by adding a total number of events of a likelihood of the particular violation occurring, multiplying a criticality level of the severity of the violation by a corresponding numerical value, and then adding each of the multiplied values.

3 . The method of claim 1 , further comprising:

filtering, by the risk-assessment system, duplicative question identifiers; and

storing, by the risk-assessment system, unique question identifiers.

4 . The method of claim 1 , wherein the interactive dashboard includes one or more dropdown menus with one or more features to select for adjusting the interactive dashboard, further comprising:

receiving, by the risk-assessment system, input to adjust the interactive dashboard; and

modifying, by the risk-assessment system, based on the received input, the interactive dashboard.

5 . The method of claim 2 , wherein the interactive dashboard includes a two-dimensional graph of the likelihood of occurrence on a first axis and the severity of occurrence on a second axis.

6 . The method of claim 2 , wherein the criticality level is determined by receiving an input from a client, based on the audit data, or the response of the question.

7 . The method of claim 2 , further comprising:

generating, by the risk-assessment system, a nonunique identifier for the severity of the particular violation by concatenating the unique codes for the particular question with the unique question identifier.

8 . The method of claim 1 , further comprising:

receiving, by the risk-assessment system, user input to forecast the likelihood of occurrence, or other metrics derived by multiplicative, additive or divisive operations on the likelihood of occurrence with respect to a particular violation, entity, audit type, and a particular time range;

performing, by the risk-assessment system, statistical analysis techniques, on the audit data; and

forecasting, based on the risk-assessment system performing the statistical analysis techniques on the audit data, the likelihood of occurrence for the particular violation and for the particular time range.

9 . The method of claim 8 , wherein the statistical analysis techniques are selected from the group consisting of Bayesian methods, Markovian methods, pattern-matching method, and renewal counting method.

10 . The method of claim 1 , further comprising:

mapping, by the risk-assessment system, the likelihood of the particular violation occurring for the audit data formatted and indexed using the corresponding unique code for each question of the questionnaire;

11 . A method for identifying risk of noncompliance in a supply chain, comprising:

ingesting, by a risk-assessment system, audit data corresponding an entity, the audit data being in the form of one or more questionnaires;

formatting, by the risk-assessment system, the audit data according to a predetermined format where each question within a questionnaire is assigned a unique code;

indexing, by the risk-assessment system, the unique code for each corresponding question of the questionnaire;

generating, by the risk-assessment system, a question identifier that includes a concatenation of one or more unique codes for a particular question, such that every question within the questionnaire has a corresponding question identifier;

calculating, by the risk-assessment system, a severity of occurrence for a violation occurring in the supply chain by adding a total number of events of a likelihood of the violation occurring, multiplying a criticality level of the severity of the violation by a corresponding numerical value, and then adding each of the multiplied values;

generating, by the risk assessment system, based on the audit data and the calculated severity of occurrence, an interactive dashboard; and

displaying, by the risk assessment system, the interactive dashboard within a user interface.

12 . The method of claim 1 , wherein the interactive dashboard includes one or more dropdown menus with one or more features to select for adjusting the interactive dashboard, further comprising:

receiving, by the risk-assessment system, input to adjust the interactive dashboard; and

modifying, by the risk-assessment system, based on the received input, the interactive dashboard.

13 . The method of claim 11 , further comprising:

receiving, by the risk-assessment system, user input to forecast the severity of occurrence, with respect to a particular violation and a particular time range;

performing, by the risk-assessment system, statistical analysis techniques, on the audit data; and

forecasting, based on the risk-assessment system performing the statistical analysis techniques on the audit data, the severity of occurrence for the particular violation and for the particular time range.

14 . The method of claim 13 , wherein the statistical analysis techniques are selected from the group consisting of Bayesian methods, Markovian methods, pattern-matching method, and renewal counting method.

15 . The method of claim 11 , further comprising:

mapping, by the risk-assessment system, the severity of occurrence for the violation to the data ingested and provided as a user input;

16 . A non-transitory computer readable storage medium, storing a computer instruction, wherein the computer instruction, when executed by a computer, causes the computer to perform operations, comprising:

ingesting, by a risk-assessment system, audit data corresponding an entity, the audit data being in the form of one or more questionnaires;

formatting, by the risk-assessment system, the audit data according to a predetermined format where each question within a questionnaire is assigned a unique code;

indexing, by the risk-assessment system, the unique code for each corresponding question of the questionnaire;

generating, by the risk-assessment system, a question identifier that includes a concatenation of one or more unique codes for a particular question, such that every question within the questionnaire has a corresponding question identifier;

calculating, by the risk-assessment system, a severity of occurrence for a violation occurring in the supply chain by adding a total number of events of a likelihood of the violation occurring, multiplying a criticality level of the severity of the violation by a corresponding numerical value, and then adding each of the multiplied values;

generating, by the risk assessment system, based on the audit data and the calculated likelihood of occurrence, an interactive dashboard; and

displaying, by the risk assessment system, the interactive dashboard within a user interface.

17 . The non-transitory computer readable storage medium of claim 16 , further comprising computer instruction that, when executed by the computer, causes the computer to perform operations including:

calculating, by the risk-assessment system other metrics using multiplicative, additive or divisive operations on the severity of occurrence with respect to a particular violation, entity, audit type and a particular time range.

18 . The non-transitory computer readable storage medium of claim 16 , wherein the interactive dashboard includes one or more dropdown menus with one or more features to select for adjusting the interactive dashboard, further comprising:

receiving, by the risk-assessment system, input to adjust the interactive dashboard; and

modifying, by the risk-assessment system, based on the received input, the interactive dashboard.

19 . The non-transitory computer readable storage medium of claim 16 , further comprising computer instruction that, when executed by the computer, causes the computer to perform operations including:

receiving, by the risk-assessment system, user input to forecast the severity of occurrence, with respect to a particular violation and a particular time range;

performing, by the risk-assessment system, statistical analysis techniques, on the audit data; and

forecasting, based on the risk-assessment system performing the statistical analysis techniques on the audit data, the severity of occurrence for the particular violation and for the particular time range.

20 . The non-transitory computer readable storage medium of claim 16 , wherein the statistical analysis techniques are selected from the group consisting of Bayesian methods, Markovian methods, pattern-matching method, and renewal counting method.

21 . The non-transitory computer readable storage medium of claim 16 , further comprising computer instruction that, when executed by the computer, causes the computer to perform operations including:

filtering, by the risk-assessment system, duplicative question identifiers; and

storing, by the risk-assessment system, unique question identifiers.

22 . The non-transitory computer readable storage medium of claim 16 , wherein the interactive dashboard includes one or more dropdown menus with one or more features to select for adjusting the interactive dashboard, the non-transitory computer readable storage further comprising computer instruction that, when executed by the computer, causes the computer to perform operations including:

receiving, by the risk-assessment system, input to adjust the interactive dashboard; and

modifying, by the risk-assessment system, based on the received input, the interactive dashboard.