Integrating Data from Geographically Diverse Non-SAP Systems into SAP HANA: Implementation of Master Data Management, Reporting, and Forecasting Model

Abstract

Integrating data from geographically diverse non-SAP systems into SAP HANA presents numerous challenges and opportunities for organizations seeking to use data management, reporting, and forecasting capabilities. This paper explores the implementation of a Master Data Management (MDM) framework, robust reporting mechanisms, and forecasting models within SAP HANA, focusing on the integration of heterogeneous data sources. The study highlights the significance of MDM in ensuring data consistency, accuracy, and reliability across different systems. It discusses the methodologies for integrating non-SAP data into SAP HANA, emphasizing data extraction, transformation, and loading (ETL) processes. The design and implementation of reporting solutions that enable real-time data analytics and business intelligence are also discussed. The paper examines forecasting models that uses integrated data to provide actionable guides and support strategic decision-making. This paper provides a roadmap for organizations to achieve a unified and efficient data management system within SAP HANA, aiming to improve operational efficiency and support informed decision-making.