SAP Data Management: Best Practices For SAP HANA Migration

The decision to migrate to SAP HANA requires careful deliberation and resource planning. The system offers fantastic real-time analytic capabilities that can vastly improve how your business extracts value from its data, but the time and cost involved means that an awareness and implementation of SAP best practices is essential. Correct SAP data management underpins all these practices, and ensures that your data is ready for migration.

 

In this article, we’ll take a look at some best practices for SAP HANA migration, and how you can make a start on them.

Determine the business case for adopting SAP HANA

To ensure that a migration to SAP HANA runs as smoothly and cost effectively as possible, it’s important to identify the business objectives that SAP HANA will help you achieve – for example, reducing data storage costs, or increasing business intelligence productivity. This is an important step for getting buy-in from the decision makers involved, and also helps your organisation keep within budget and timescales throughout the migration process, as a SAP HANA migration must be justified by Return on Investment (ROI).

 

Assessing current systems and data will allow you to map out the requirements for your SAP HANA migration

Once you’ve achieved buy-in, best practice dictates that an assessment be carried out to determine whether your organisation and data are ready for migration. The assessment will help you understand your data requirements, what you’ll need for the migration in terms of personnel, resources and processes, define the indicators of data quality you should look for after you’ve transitioned to SAP HANA, and highlight any potential threats to business continuity. This step in the pre-migration process will also highlight how to develop your SAP data management strategy and get your data in order before migration. Enlisting the help of an SAP data management expert will ensure that you’ve analysed your current data correctly.

 

Rightsizing reduces the amount of data you need to migrate to SAP HANA

After assessing the organisational, resource and data requirements involved in an SAP HANA migration, you need to map out the migration process. SAP data Rightsizing is instrumental here, and involves conducting an audit of all your current SAP data. From there, you’ll be able to identify what data can be deleted, moved to separate data storage and moved over to SAP HANA. The process aims to reduce the quantity of data you need to migrate, thereby reducing migration costs and timelines. With less data to carry over, your SAP HANA appliance size requirements are also reduced, bringing down the Total Cost of Ownership (TCO) of the appliance.

 

Control SAP data growth post-migration to extract greater value from SAP HANA in the long term

A solid pre-migration data management strategy also ensures that data growth is controlled post-migration. There’s little sense in reducing the amount of data you need to migrate to the appliance, only to accumulate that data back within months. Not only does this limit the memory capacity of SAP HANA, but response times are also lowered.

SAP data management and best practices help you circumvent months of post-migration costs and downtime. To learn more about Rightsizing and SAP archiving and how they can help your business save costs throughout its transition to SAP HANA, download our free guide:

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