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Data Migration Steps

Loading data into the SAP system is not an instant process. It can be a project by itself that carried out in parallel to the functional implementation. I strongly believe that data Migration and conversion is a critical process during SAP implementation. In the case of legacy systems, the data migration will be an inclusive and intense exercise that must be carried out cautiously.

This blog provides a high-level procedure to transfer data from the legacy system. Designing and Implementing Migration framework, Design of Extract, Transform and Load (ETL) flows, Implementing migration programs, mapping, and cleansing. Data migration includes data definition, conversion, and loading using tools like IDocs, SAP LSMW, and Custom programs.

I also believe that data conversion will become a key component of data migration. Data Conversion process converts the data format that can be used in the SAP system. For example length of Material in the legacy system might be 15 numeric but in SAP it is 18 Alpha Numeric. During the Realization phase of the project, we will identify these outliers to avoid a costly and time-consuming issue at a later phase of the project.

We will follow the following two types of migration:

Manual: For the data complex in nature or very small by volume, the manual load is preferred.

Automated: For a huge volume of data. In this process, data is extracted from the Legacy system, translated and loaded into SAP system using LSMW, BAPIs, IDocs or custom programs.

Like in every other system, in SAP we have 2 types of data:

  • SAP Master Data, that is not changed often and
  • Transactional data, the data created in SAP (or in the legacy system) as a result of daily business transactions.

Below is the list of key steps along with the owner of those steps are identified.

Steps Primary Owner Secondary Owner Phase
High Level data Migration Plan Vendor Client Prepare
Detail Data Migration Plan Vendor Client Explore
Approve Data Migration Plan Client NA Explore
Data Migration Templates for Master & Transaction Data Vendor Client Realize
Identify Data Conversion Fields Vendor Client Realize
Field Mapping Vendor Client Realize/Deploy
Gap Analysis (Gap Report) Vendor Client Realize/Deploy
Dependency Analysis (Dependency Report) Vendor Client Realize/Deploy
Plan to populate Missing Information Client Vendor Realize/Deploy
Provide  data in the specified format Client Vendor Deploy
Mock Data Load Vendor Client Deploy
Identify Errors in data load Vendor Client Deploy
Fix the errors Client Vendor Deploy
Exception Report Vendor Client Deploy
Repeat Data Load & error fixing Respective Respective Respective
Provide Final Data Client Vendor Run
Load Final Data Vendor Client Run
Provide Delta Data (in case of the parallel run) Client Vendor Run
Load Delta Data (in case of the parallel run) Vendor Client Run
Provide data load confirmation Client Vendor Run

Here is the schematic diagram of the overall data migration & conversion process.

In case of modular approach, the same set of steps will be followed for each module and go-live. The only exception would be for Master Data. All the master data should be migrated to the target system during the first module go-live. Any changes in the master data should be replicated to either system at regular intervals. For example, if a customer contact details are changed in the SAP system, it should be replicated to the legacy system as well. The process of this replication can either be automated or manual depending upon the change volume and the complexity of the change. On the other hand, if an item description is changed in the legacy system that is not yet to go-live in the SAP system, this change can be replicated during the go-live process of the Materials Management.

In conclusion, these steps are mandatory and built upon the previous steps. We should also note that the data migration will make or break the go-live process.



This post first appeared on Web Service Testing A Blackjack GUI And API, please read the originial post: here

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Data Migration Steps

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