Best Practices in Data Reconciliation between SAP HANA and BI Reporting Tools

Authors

  • Abhijeet Bhardwaj, Pradeep Jeyachandran, Nagender Yadav, Prof. (Dr) MSR Prasad, Shalu Jain, Prof. (Dr) Punit Goel

Abstract

Data reconciliation between SAP HANA and Business Intelligence (BI) reporting tools is essential for ensuring
data accuracy, consistency, and reliability in organizational decision-making. This study explores the best
practices for effective data reconciliation processes, focusing on the integration of SAP HANA with various BI
tools. The first step involves establishing a clear understanding of data sources, ensuring that all relevant
datasets are accurately identified and categorized. Next, implementing standardized data extraction and
transformation protocols helps maintain data integrity throughout the reconciliation process. Leveraging realtime data synchronization capabilities of SAP HANA enables organizations to minimize discrepancies between
source data and BI reports. Furthermore, the adoption of robust data validation techniques is critical to identify
and rectify errors promptly. Utilizing automated reconciliation workflows can significantly enhance efficiency
and reduce manual intervention, thus lowering the risk of human error. The study also emphasizes the
importance of continuous monitoring and auditing of reconciliation processes to identify trends and address
potential issues proactively

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Published

2024-08-07

How to Cite

Abhijeet Bhardwaj, Pradeep Jeyachandran, Nagender Yadav, Prof. (Dr) MSR Prasad, Shalu Jain, Prof. (Dr) Punit Goel. (2024). Best Practices in Data Reconciliation between SAP HANA and BI Reporting Tools. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 348–366. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/133

Issue

Vol. 3 No. 2 (2024): Volume 3 Issue 2 (July-December, 2024)

Section

Articles