SAP HANA and Dolphin Data Solutions

Reduce the Cost & Complexity of SAP HANA & S/4HANA

By 2025 every organization running SAP systems will make the move to S/4HANA. Organizations that are planning this transition need to put an information management strategy in place to control data volume and growth over time and control the costs associated with this new in-memory platform. Whether an organization is choosing to do a greenfield implementation, a system migration, or a complete system transformation, the Dolphin Information Management solution can help organizations reduce the footprint of existing systems to reduce the cost and complexity of the transition to HANA.

Lower Total Cost of Ownership of SAP HANA of SAP S/4HANA

Total Cost of Ownership (TCO) of SAP HANA or SAP S/4HANA is strongly correlated to the data volume maintained in the system. Dolphin uses information management best practices to archive data and documents and move them to more cost effective storage and content management solutions. The cost of legacy systems that are left behind by the transition is great and the risk of keeping data in secondary systems is also significant. Dolphin helps companies improve the return on investment from SAP HANA and SAP S/4HANA by enabling organizations to retain and purge data from legacy systems so these systems can be retired, eliminating the related license and maintenance costs.

Reduce Downtime & Reduce Risk when Converting Existing SAP Systems to SAP HANA or SAP S/4HANA

Moving large volumes of data to S/4HANA slows the migration process and makes it difficult to complete the transition in a timely manner. Archiving data reduces the system footprint so that the process is less complex and migration windows are as short as possible. The risk posed by older data is also a concern in the move to HANA because it poses a risk if it does not comply with established retention policies. Dolphin enables organizations to identify and methodically purge data that does not meet retention requirements, so organizations can eliminate risk and further reduce the system footprint, reducing costs and complexity.    

SAP HANA and Dolphin Data Solutions

Reduce the Cost & Complexity of SAP HANA & S/4HANA

By 2025 every organization running SAP systems will make the move to S/4HANA. Organizations that are planning this transition need to put an information management strategy in place to control data volume and growth over time and control the costs associated with this new in-memory platform.

Whether an organization is choosing to do a greenfield implementation, a system migration, or a complete system transformation, the Dolphin Information Management solution can help organizations reduce the footprint of existing systems to reduce the cost and complexity of the transition to HANA.

Lower Total Cost of Ownership of SAP HANA of SAP S/4HANA

Total Cost of Ownership (TCO) of SAP HANA or SAP S/4HANA is strongly correlated to the data volume maintained in the system. Dolphin uses information management best practices to archive data and documents and move them to more cost effective storage and content management solutions.

The cost of legacy systems that are left behind by the transition is great and the risk of keeping data in secondary systems is also significant. Dolphin helps companies improve the return on investment from SAP HANA and SAP S/4HANA by enabling organizations to retain and purge data from legacy systems so these systems can be retired, eliminating the related license and maintenance costs.

Reduce Downtime & Reduce Risk when Converting Existing SAP Systems to SAP HANA or SAP S/4HANA

Moving large volumes of data to S/4HANA slows the migration process and makes it difficult to complete the transition in a timely manner. Archiving data reduces the system footprint so that the process is less complex and migration windows are as short as possible.

The risk posed by older data is also a concern in the move to HANA because it poses a risk if it does not comply with established retention policies. Dolphin enables organizations to identify and methodically purge data that does not meet retention requirements, so organizations can eliminate risk and further reduce the system footprint, reducing costs and complexity.