Improving Data Accuracy and Financial Integrity in SAP-Centered Enterprise Transaction Systems

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Authors: Somasekharreddy Bogireddy
Cited by: 0

Abstract

Enterprise transaction systems centered on integrated resource planning platforms face persistent challenges in maintaining data accuracy and financial integrity across procurement, inventory, sales, and reporting functions. Organizations encounter discrepancies stemming from integration gaps, inconsistent validation logic, and weak governance structures. Common sources of inconsistency encompass amount mismatches among operational statistics and economic postings, replica transaction entries, incomplete agreement attributes, and insufficient audit traceability. Accounting information structures have evolved from manual record-preserving to state-of-the-art systems dealing with complex transaction volumes. Inner control frameworks offer established mechanisms for dealing with statistical device risks within employer environments. Governance frameworks establish principles guiding relationships between business objectives and technical capabilities. Validation controls positioned at system boundaries serve as primary defenses against data inconsistencies. Idempotent processing design ensures repeated transaction submissions produce identical outcomes. Master data management introduces additional complexity, requiring careful attention to data quality challenges. Data ownership assignment establishes accountability for quality within specific transaction domains. Trust-based service architectures require explicit management of component relationships. The framework presented connects financial control objectives directly to system integration design and governance mechanisms, emphasizing prevention over correction throughout transaction processing lifecycles. The framework is designed for large-scale, multi-entity enterprise environments operating under regulatory, audit, and financial reporting constraints, where transaction integrity failures can create material financial and compliance risk. The contribution emphasizes preventive control architectures applicable across SAP-centered enterprise systems deployed at the national and global scale.

Fields of Study & Subjects

ERP Systems Implementation and Impact Data Quality and Management Decision Support System Applications

Publication details

Journal / source
Journal of Computational Analysis and Applications
Publication date
31 January 2026