A system for harmonizing financial data in real time across distributed ERP environments.

Abstract

A system for harmonizing financial data in real time across distributed ERP environments, including: a data collection module configured to continuously collect financial data from a variety of heterogeneous ERP systems distributed across on-premise, cloud, and hybrid infrastructures; a data normalization and transformation engine that is functionally coupled with the data acquisition module and configured to standardize different data formats, reconcile schema deviations, and convert financial data into a unified data model; a real-time synchronization module configured to forward updates of financial data across the multitude of ERP systems to ensure consistency and eliminate data discrepancies; a validation and integrity management module configured to verify the accuracy of financial data by applying predefined rules, constraints, and anomaly detection mechanisms; a data orchestration and control layer configured to manage the data flow between modules and optimize the processing of high-volume financial data streams; a storage layer configured to securely store harmonized financial data in at least one centralized or distributed repository; and an interface and reporting module configured to enable real-time access, visualization and reporting of harmonized financial data, the system is configured to enable continuous, consistent and real-time harmonization of financial data across distributed ERP environments.

Description

[0001] The present invention relates generally to the field of enterprise information systems and financial data management. In particular, the invention relates to a system for the real-time harmonization of financial data in distributed enterprise resource planning (ERP) environments. The invention focuses on the integration, standardization, and synchronization of heterogeneous financial data streams across multiple, geographically distributed ERP systems to ensure consistency, accuracy, and real-time transparency of financial information.

[0002] In modern business ecosystems, organizations increasingly operate across multiple regions, business units, and subsidiaries, each using its own enterprise resource planning (ERP) systems to manage financial operations, resulting in a highly distributed and heterogeneous data environment. These ERP systems often differ in data formats, database structures, accounting standards, currencies, and reporting formats, leading to fragmentation and inconsistency of financial data across the organization. Traditional financial data management techniques typically rely on batch processing, manual reconciliation, or periodic synchronization mechanisms, resulting in significant delays that limit real-time visibility and increase the likelihood of human and system errors.Furthermore, existing integration approaches, such as middleware-based solutions and ETL (Extract-Transform-Load) frameworks, are primarily designed for scheduled data movements and lack the capability to perform continuous, real-time harmonization of financial data streams, particularly in scenarios with high data velocity and structural variability. These systems also struggle to dynamically accommodate schema changes, data inconsistencies, and cross-system dependencies, which negatively impacts the reliability and timeliness of consolidated financial reporting.Furthermore, the rapid adoption of cloud computing, hybrid infrastructures, and decentralized enterprise architectures has further increased the complexity of financial data management, as organizations must ensure seamless interoperability between on-premises and cloud-based ERP systems while maintaining data integrity, security, and compliance with diverse regulatory requirements. The lack of a unified mechanism for standardizing and synchronizing financial data in real time leads to delayed decision-making, reduced operational efficiency, and challenges in achieving accurate financial transparency.Accordingly, there is a need for a robust and scalable system capable of performing real-time financial data harmonization across distributed ERP environments and overcoming the limitations of existing technologies by ensuring consistent, accurate, and synchronized financial information throughout the enterprise.

[0003] To solve this problem, the present invention provides a system for harmonizing financial data in real time in distributed ERP environments.

[0004] The system enables real-time harmonization of financial data across distributed ERP environments, thereby providing up-to-date and consistent financial transparency for improved decision-making.

[0005] The system reduces data inconsistencies and discrepancies by standardizing heterogeneous financial data formats across multiple ERP platforms.

[0006] The system minimizes the delays associated with conventional batch processing and periodic synchronization by ensuring continuous, real-time data reconciliation.

[0007] The system improves data accuracy and reliability by eliminating manual intervention and reducing human-caused errors in financial consolidation.

[0008] The system improves interoperability between different ERP systems, databases, and financial modules that are operated across different organizational units.

[0009] The system supports scalability through the efficient processing of large amounts of financial data generated from geographically distributed enterprise systems.

[0010] The system dynamically adapts to schema deviations and structural differences in financial data records across multiple ERP environments.

[0011] The system ensures seamless integration between local and cloud-based ERP infrastructures, thus enabling uniform financial processes in hybrid environments.

[0012] The system strengthens compliance with legal regulations by maintaining consistent and standardized financial records that are aligned with different regional and international requirements.

[0013] The system increases operational efficiency by automating financial data synchronization and reducing the need for manual reconciliation processes.

[0014] The system ensures improved transparency and traceability of financial transactions across the entire business ecosystem.

[0015] The system reduces computing effort and resource utilization through optimized data processing and synchronization mechanisms.

[0016] The system enables faster financial reporting and analysis by providing harmonized and easily accessible financial datasets.

[0017] The system improves data management by ensuring consistency, integrity, and controlled access to financial information across distributed systems.

[0018] The present invention discloses a system for the real-time harmonization of financial data in distributed enterprise resource planning (ERP) environments, configured to integrate, standardize, and synchronize heterogeneous financial data streams from multiple, geographically distributed ERP systems. The system is designed to ensure consistency, accuracy, and real-time transparency of financial information by enabling seamless interoperability across different data formats, schemas, and platforms. Furthermore, the system enables continuous data reconciliation, reduces the latency associated with traditional batch-based approaches, and improves data integrity by minimizing discrepancies and manual intervention.The system also supports scalable operation across cloud, on-premise and hybrid infrastructures while complying with different regulatory standards, thus providing a uniform, reliable and efficient framework for enterprise-wide financial data management and reporting.

[0019] Fig. shows a schematic representation of a system for real-time harmonization of financial data in distributed enterprise resource planning (ERP) environments.

[0020] Fig.Figure 1 shows a schematic representation of a system for harmonizing financial data in real time across distributed enterprise resource planning (ERP) environments. The system comprises a distributed ERP infrastructure, including on-premises, cloud, and hybrid ERP systems, all operationally connected to a data orchestration and control layer. This layer is configured to manage and coordinate the flow of financial data from the various ERP systems to downstream processing components. Data from the distributed ERP infrastructure is transferred to a data ingestion module configured to continuously collect financial data from the different ERP sources. The data ingestion module then forwards the collected data to a data normalization and transformation engine, which standardizes heterogeneous data formats and aligns schema deviations into a unified data model.The normalized data is then processed by a real-time synchronization module, which ensures the continuous flow and consistency of financial data across distributed ERP systems. The synchronized data is then passed to a validation and integrity management module, which verifies data accuracy, detects anomalies, and enforces consistency constraints. The validated data is subsequently stored in a storage layer configured to manage harmonized financial datasets securely and scalably. The stored data is then made available to an interface and reporting module, providing end users with real-time visualization, analysis, and reporting capabilities.

[0021] The present invention discloses a system for the real-time harmonization of financial data in distributed enterprise resource planning (ERP) environments, comprising a plurality of interconnected modules configured to capture, process, standardize, synchronize, validate, and manage financial data streams originating from multiple heterogeneous ERP systems distributed across on-premise, cloud, and hybrid infrastructures. The system includes a data capture module configured to continuously receive financial data via application programming interfaces (APIs), data streams, message queues, or database connections, and a data normalization and transformation engine configured to standardize disparate data formats, reconcile schema deviations, align accounting structures, and convert financial data records into a unified data model.The system also includes a real-time synchronization module configured to continuously forward updates and ensure consistency across all connected ERP systems, as well as conflict detection and resolution capabilities to guarantee data integrity. A validation and integrity management module applies predefined rules and constraints to detect anomalies, inconsistencies, and duplicate entries, thereby ensuring the accuracy and compliance of financial data. The system further includes a data orchestration and control layer configured to manage data flow, coordinate processing tasks, and optimize performance for high-volume, high-speed data environments, as well as a storage layer configured to securely manage harmonized financial datasets in centralized or distributed repositories.Furthermore, the system includes an interface and reporting module configured to provide real-time dashboards, analytics, and customizable financial reports, and integrates security and compliance mechanisms such as encryption, access control, and audit trails to protect sensitive financial information, thus enabling a scalable, efficient, and unified framework for real-time harmonization of financial data across distributed ERP ecosystems.

Claims

[1] A system for harmonizing financial data in real time in distributed ERP environments, comprising: a data collection module configured to continuously collect financial data from a variety of heterogeneous ERP systems distributed across on-premise, cloud, and hybrid infrastructures; a data normalization and transformation engine that is functionally coupled with the data acquisition module and configured to standardize different data formats, reconcile schema deviations, and convert financial data into a unified data model; a real-time synchronization module configured to forward updates of financial data across the multitude of ERP systems to ensure consistency and eliminate data discrepancies; a validation and integrity management module configured to verify the accuracy of financial data by applying predefined rules, constraints, and anomaly detection mechanisms; a data orchestration and control layer configured to manage the data flow between modules and optimize the processing of high-volume financial data streams; a storage layer configured to securely store harmonized financial data in at least one centralized or distributed repository; and an interface and reporting module configured to enable real-time access, visualization and reporting of harmonized financial data, the system is configured to enable continuous, consistent and real-time harmonization of financial data across distributed ERP environments. [2] System according to claim 1, wherein the data acquisition module is configured to communicate with ERP systems via application programming interfaces (APIs), message queues, data streams or direct database connections. [3] System according to claim 1, wherein the data normalization and transformation engine is further configured to perform currency standardization, adjustment of the accounting structure and mapping of data fields. [4] System according to claim 1, wherein the real-time synchronization module comprises a mechanism for detecting and resolving conflicts in order to handle simultaneous data updates across multiple ERP systems. [5] System according to claim 1, wherein the validation and integrity management module is configured to detect duplicate entries, inconsistencies and anomalies in financial data. [6] System according to claim 1, wherein the data orchestration and control layer is configured to dynamically allocate computing resources and manage data pipelines for efficient processing. [7] System according to claim 1, wherein the storage layer comprises distributed databases, cloud storage systems or data lakes to ensure scalability and high availability. [8] System according to claim 1, wherein the interface and reporting module is configured to produce customizable financial reports and to integrate with business intelligence tools.

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