Abstract: Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.

Abstract: Systems and methods for populating data in a client specific repository in a public cloud infrastructure is described. The system includes a private master data repository (MDR) implemented in a private network and having data stored therein. A client submits a data request to access the MDR and to perform an operation on data within the MDR. The data request may include information for identifying the client and information for determining whether the client is authorized to perform the requested operation. The system further includes a persistence mechanism configured to interface with the MDR in response to the data request. Upon verifying the client is authorized to access the MDR, the persistence mechanism may be configured to provision a directory in the public cloud infrastructure and to create and populate data in the client specific repository as a persistent state of the data in the MDR.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.

Abstract: A method and a system for validating a completeness and correctness of information required for a proposed transaction in order to facilitate a successful and timely settlement of the transaction is provided. The method includes: receiving a request for a proposed transaction that includes information that relates to the proposed transaction; and determining whether the information is sufficient for executing the proposed transaction and whether the information includes an error that would prevent a successful execution of the proposed transaction. The determinations regarding sufficiency and presence of errors may be made by applying one or more algorithms based on machine learning techniques. When the information is found to be insufficient or to include errors, proposed actions for remedying the problems are provided.

Abstract: Systems and methods for populating data in a client specific repository in a public cloud infrastructure is described. The system includes a private master data repository (MDR) implemented in a private network and having data stored therein. A client submits a data request to access the MDR and to perform an operation on data within the MDR. The data request may include information for identifying the client and information for determining whether the client is authorized to perform the requested operation. The system further includes a persistence mechanism configured to interface with the MDR in response to the data request. Upon verifying the client is authorized to access the MDR, the persistence mechanism may be configured to provision a directory in the public cloud infrastructure and to create and populate data in the client specific repository as a persistent state of the data in the MDR.

Abstract: Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Abstract: The invention relates to a computer-implemented system and method for providing data services to a user via a best fit data matching application programming interface (API). The method may comprise exposing to the user, via the API, data services that are available electronically to the user. The data services are invoked with a query comprising a set of parameters. An automated query processing service is used to automatically analyze the parameters and match the parameters to a best electronic data source among a plurality of electronic data sources using a metadata store. The step of matching the parameters to the best electronic data source is based on a data quality metric, a date range and user permissions. The retrieved dataset, which is automatically presented to the user electronically via the API, can also be customized to include client-specific data elements.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.

Abstract: The invention relates to a computer-implemented system and method for providing data services to a user via a best fit data matching application programming interface (API). The method may comprise exposing to the user, via the API, data services that are available electronically to the user. The data services are invoked with a query comprising a set of parameters. An automated query processing service is used to automatically analyze the parameters and match the parameters to a best electronic data source among a plurality of electronic data sources using a metadata store. The step of matching the parameters to the best electronic data source is based on a data quality metric, a date range and user permissions. The retrieved dataset, which is automatically presented to the user electronically via the API, can also be customized to include client-specific data elements.