Method and system to conduct an audit for controlling quality of a facility

A computer system comprising:

• one or more processor;
• and
• a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method to conduct audit for controlling quality of a digital facility based on a feedback collected from a plurality of sources, the method comprising:
• collecting, at a smart audit system, a first set of data associated with the feedback of the digital facility, wherein the feedback of the digital facility being collected based on a plurality of micro descriptors associated with one or more regions of the digital facility and wherein the first set of data being collected from the plurality of sources in real time;
• creating, at the smart audit system, one or more tasks corresponding to an audit of the digital facility, wherein the one or more tasks being created based on the first set of data in real time;
• receiving, at the smart audit system, a second set of data associated with a plurality of auditors, wherein the plurality of auditors conduct the audit of the digital facility based on the first set of data and wherein the second set of data being received in real time;
• analyzing, at the smart audit system, the first set of data and the second set of data using machine learning algorithms to identify a competent auditor for the one or more tasks, wherein the first set of data and the second set of data being analyzed in real time;
• assigning, at the smart audit system, the one or more tasks to each of the plurality of auditors for the audit of the digital facility, wherein the one or more tasks being assigned based on the analyzing of the first set of data and the second set of data and wherein the one or more tasks being assigned in real time;
• obtaining, at the smart audit system, a third set of data associated with the audit of the digital facility from the plurality of auditors, wherein the third set of data being obtained in real time;
• determining, at the smart audit system, the deviation in the first set of data and the third set of data using the machine learning algorithms, wherein a deviation in the first set of data and the second set of data being used to identify one or more issues associated with the digital facility, wherein the one or more issues comprises high severity issues and not caught issues and wherein the deviation being determined in real time;
• and
• rating, at the smart audit system, the plurality of auditors based on a key responsibility area and wherein the key responsibility area for the plurality of auditors being defined based on a status of the one or more tasks.

A computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method to conduct audit for controlling quality of a digital facility based on a feedback collected from a plurality of sources, the method comprising:

• collecting, at a computing device, a first set of data associated with the feedback of the digital facility, wherein the feedback of the digital facility being collected based on a plurality of micro descriptors associated with one or more regions of the digital facility and wherein the first set of data being collected from the plurality of sources in real time;
• creating, at the computing device, one or more tasks corresponding to an audit of the digital facility, wherein the one or more tasks being created based on the first set of data in real time;
• receiving, at the computing device, a second set of data associated with a plurality of auditors, wherein the plurality of auditors conduct the audit of the digital facility based on the first set of data and wherein the second set of data being received in real time;
• analyzing, at the computing device, the first set of data and the second set of data using machine learning algorithms to identify a competent auditor for the one or more tasks, wherein the first set of data and the second set of data being analyzed in real time;
• assigning, at the computing device, the one or more tasks to each of the plurality of auditors for the audit of the digital facility, wherein the one or more tasks being assigned based on the analyzing of the first set of data and the second set of data and wherein the one or more tasks being assigned in real time;
• obtaining, at the computing device, a third set of data associated with the audit of the digital facility from the plurality of auditors, wherein the third set of data being obtained in real time;
• determining, at the computing device, a deviation in the first set of data and the third set of data using the machine learning algorithms, wherein the deviation in the first set of data and the second set of data being used to identify one or more issues associated with the digital facility, wherein the one or more issues comprises high severity issues and not caught issues and wherein the deviation being determined in real time;
• and
• rating, at the computing device, the plurality of auditors based on a key responsibility area and wherein the key responsibility area for the plurality of auditors being defined based on a status of the one or more tasks.