Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, in response to detecting an error in an error data record, automatically correcting executing a machine learning architecture, the error. The method may include, for each data record, determining a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, and in response to detecting a new customer data requirement, updating the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating the one or more computer-form files.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, in response to detecting an error in an error data record, automatically correcting executing a machine learning architecture, the error. The method may include, for each data record, determining a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, and in response to detecting a new customer data requirement, updating the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating the one or more computer-form files.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, in response to detecting an error in an error data record, automatically correcting executing a machine learning architecture, the error. The method may include, for each data record, determining a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, and in response to detecting a new customer data requirement, updating the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating the one or more computer-form files.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, for each data record, determining, by the computer, a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, in response to detecting a new customer data requirement, updating, by the computer, the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating, by the computer, the one or more computer-form files based upon each data category using each data record of each daily interval.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, for each data record, determining, by the computer, a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, in response to detecting a new customer data requirement, updating, by the computer, the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating, by the computer, the one or more computer-form files based upon each data category using each data record of each daily interval.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, for each data record, determining, by the computer, a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, in response to detecting a new customer data requirement, updating, by the computer, the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating, by the computer, the one or more computer-form files based upon each data category using each data record of each daily interval.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, in response to detecting an error in an error data record, automatically correcting executing a machine learning architecture, the error. The method may include, for each data record, determining a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, and in response to detecting a new customer data requirement, updating the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating the one or more computer-form files.

Abstract: Presented herein are systems and methods for regularly updating computer-form files. A method may include obtaining, by a computer, raw data containing a plurality of data records associated with a customer from a plurality of databases, for each data record, determining, by the computer, a data category indicating one or more computer-form files for a data entry of the data record based upon a preconfigured mapping between a type of data of the data entry mapped to the data category, in response to detecting a new customer data requirement, updating, by the computer, the one or more computer-form files associated with each data category according to each data record of each daily interval, and at a preconfigured time, generating, by the computer, the one or more computer-form files based upon each data category using each data record of each daily interval.