SAP Data Migration
SAP Data Migration: An Overview and Key Considerations
What Is Data Migration?
Data migration is the process of transferring data from one computer storage type or file format to another. It is a key component of any system implementation, upgrade, or consolidation.
The overall objective of data migration goes beyond simply moving it; the real objective is to maintain data quality during the move, ensure the data is fit for use, and ensure it can support underlying business processes and operational goals.
SAP provides data migration software and a major global portfolio comprising individual services, both called SAP Data Migration.
Vendors like Boomi provide data migration services to help SAP customers with their data migration projects.
SAP Data Migration: An Overview and Key Considerations
What Is Data Migration?
Data migration is the process of transferring data from one computer storage type or file format to another. It is a key component of any system implementation, upgrade, or consolidation.
The overall objective of data migration goes beyond simply moving it; the real objective is to maintain data quality during the move, ensure the data is fit for use, and ensure it can support underlying business processes and operational goals.
SAP provides data migration software and a major global portfolio comprising individual services, both called SAP Data Migration.
Vendors like Boomi provide data migration services to help SAP customers with their data migration projects.
Key Data Migration Considerations for SAPinsiders
Develop a data matrix. Creating a data matrix can help project managers plan and execute a multiple-data-migration project, explains Yogesh Lohiya in an SAPinsider tutorial. Lohiya writes that “with business-driven planning, a well-managed data migration process can produce significant business gain across the enterprise.” After you create the matrix, Lohiya recommends using color coding to help certain elements stand out.
Understand the difference between data validation and data testing strategy. According to Ashvinder Rana, data migration projects should have an effective data migration testing strategy. In this SAPinsider article, Rana encourages project managers to understand the difference between data validation and data testing. Data validation, says Rana, can comprise random sampling methods to ensure that the data is converted accurately as per the data mapping rules.
“However, a data migration testing strategy should comprise a series of iterative ‘mock conversion runs’ for all objects in scope where the converted data is utilized by the business process/functional teams to thoroughly test the integration points/transactions as well. In addition, these iterative ‘mock conversion runs’ also allow for validation or conversion programs, conversion error analysis, and fixes that will eventually lead to a ‘zero-error’ data migration.”
Consider a data migration process specific to SAP S/4HANA. Abhishek Gupta provides a step-by-step guide for SAP customers or consultants who want to migrate master or transnational data from any SAP or non-SAP system to SAP S/4HANA. “It is essential for an organization to execute an appropriate data migration strategy to speed up their drive towards SAP S/4HANA in a profitable way. It would be a challenging task to transfer the data into SAP S/4HANA, and therefore it is required to have a verified data migration technique,” Gupta says.
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Explore Your SAP S/4HANA Implementation Options
SAP S/4HANA experts answered user questions during two one-hour live chat sessions. The panelists included members of the SAP Digital Business Services organization and an SAP partner organization leading digital transformation projects with customers. Questions ranged from topics such as building a business case for SAP/4HANA to custom code to BW on HANA. Read the…
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A Quick Guide to Successfully Migrating Data as Part of an Acquisition or SAP Upgrade
Using SAP ERP procurement and inventory functions as examples, learn the steps behind a typical data migration process. Key Concept A data migration strategy is one of the biggest and most crucial hurdles to clear in any acquisition or SAP upgrade project. This strategy involves four data-related steps: extraction, transformation, loading, and reconciliation. A properly...…
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An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools
In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…
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SAP Data Services Part 3: How to Extract, Transform, and Load Data into SAP HANA
Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration. Key Concept Certain extract, transform, and load (ETL) processes have been pushed to SAP HANA, which directly affects the integration with SAP Data Services. ETL is...…
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An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA
In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of...…
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SAP Data Services: How to Extract, Transform, and Load Data into SAP HANA
Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration.
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Financial Data Migration Tips and Tricks
ManagementLearn functional and technical tips for migrating data as part of a business consolidation strategy. Key Concept Data migration may involve moving data from a legacy SAP system to another SAP system or transferring data entered under one company code to another company code. Another type of data migration involves merging data pertaining to two...…
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Support Regulatory Compliance Across Your SAP Landscape with SAP Data Privacy Integration
While it is important for businesses to ensure data privacy to gain the trust of both customers and business partners, the protection of this data is critical for adhering to the regulations that countries are introducing at a growing rate, with more data privacy bills introduced in 2020 compared to 2019. These regulations — such…
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Data Can’t Wait: Start Planning Today
Since the inception of SAP S/4HANA, one of the main risks that often derails the implementation journey centers around preparing, cleansing, converting, and managing the data. This article presents leading practices that SAP customers can leverage during their SAP S/4HANA implementations to significantly reduce program risks associated with the data conversion process. The advice provided…
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SNP and Palantir Are Addressing the Manual Work Behind SAP Modernization
The SNP-Palantir partnership reflects a growing trend in the SAP ecosystem: applying AI to the execution layer of transformation projects. By automating test-data selection and supporting migration governance, the companies aim to help SAP customers deliver faster, more predictable, and more auditable transformation outcomes.
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