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Move to SAP S/4HANA Private Cloud with Selective Data Transition

The easiest and safest way to move to SAP S/4HANA Private Cloud.

cbs offers pre-packaged standard migration scenarios for your move to the cloud leveraging Selective Data Transition.

These pre-packaged solutions provide the perfect starting point for any organisation looking to migrate to SAP S/4HANA Private Cloud. Select the preferred options and add layers of customisation to fit your individual business transformation needs. Focus on cleaning up unused data, harmonising master data for business partner implementation, or leveraging new financial structures and functionalities in SAP S/4HANA. We believe this is an individual journey, and you should have the flexibility to make it your own by allowing business functionality, and business value drives this decision.

With this unique approach combining pre-packaged scenarios and customisable options, the move to SAP S/4HANA Private Cloud will match every customer’s requirements.

MIGRATION PACKAGES

 

 

Move your legacy EEC

to S/4 in the cloud

 

 

 

 

Cleaning/ removal of

irrelevant company code

 

 

 

 

Migrating relevant data based on

a specific set of dates

 

 

MIGRATION PACKAGES – Add ons

Leverage on cbs add-ons packages to consolidate your SAP system landscape in a fast, secure, and flexible way.

  • Intelligent Finance

    Achieve flexible financial reorganisation, leveraging value-adding SAP S/4HANA functionalities such as newGL, Universal Journal, Margin Analysis, new FI Asset Accounting, Document Splitting and more.

    Harmonise charts of accounts, profit centres, and cost centres parallel to your S/4HANA transition.

  • Near-Zero Downtime Package

    With a near-zero downtime approach, you avoid interruptions to operational business processes.

    With cbs you have the choice of cutover scenarios – both in stages and in one big bang using near-zero-downtime functionalities.

  • Data Clean-Up

    Take advantage of cbs data cleaning-up package to improve data accuracy and consistency.

    A clean set of data will increases overall productivity. Your team do not have to wade through countless outdated documents and allows employees to make the most of their work hours.

  • System Consolidation

    Simplify your SAP system landscape by the consolidation of systems. It reduces the total cost of ownership and increases profits of your business.

FLAGSHIP PROJECT – FIRST SAP CUSTOMER TO MIGRATES INTO S/4HANA PRIVATE CLOUD WITH SELECTIVE DATA TRANSITION

SPS Steel and Pipe Supply, an American steel company, established in 1933, successfully complete Go-Live on their SAP S/4HANA flagship project, SPS/4WARD in record time. After 10 months, the technical project timeline finalised the productive system’s handover back to SPS without any business disruptions. Through this project, SPS becomes the first company to use Selective Data Transition to migrate selective data and processes from an ECC 6.0 on-premise system into an existing SAP S/4HANA Single Tenant Edition private Cloud environment based on SAP Best Practices.

“This project is pioneering and groundbreaking. It demonstrates that S/4 transformation projects do not have to take years and that they can genuinely add value to the business. This project will serve as a blueprint for future S/4 migrations into the cloud”

– Lorenz Praefcke, CEO of cbs America

USE CASE FOR SPS COMPANIES

  • Migration to Cloud

    > ECC 6.0 to SAPS/4HANA Private Cloud
    > Selective Data Transition as a migration approach
    > Selective data and processes migration to cloud

  • Company Code Selection

    > 15 of 30 Company Codes migrated
    > Renaming Organisation Units
    > Inactive CC data left behind

  • Time Selection Criteria

    > Only 5 years’ worth of data was considered from the 15 company codes in scope

  • System Merge

    > 15 Company code merged into existing S/4HANA Private Cloud
    > Resolved conflicting configuration and customising

  • Financial Reorganisation

    > NewGL implementation
    > Mapping of historical data into new S/4HANA structures
    > Margin Analysis (cost-based to account-based CO-PA)
    > New FI Asset Accounting
    > CoA/ PC conversion

  • Business Partner

    > Customer-Vendor integration
    > Number range concepts
    > Clean up of redundant data
    > Master Data harmonisation

  • Change Management

    > Retained as many custom screen transactions as possible
    > Compatible configuration migrated to the new environment
    > Extra training for business to reduce stress

  • Less Business Disruption

    > Open or partially delivered orders migrated “as-is”
    > Near-zero downtime approach
    > Flexible data migration

Selective Data Transition – The Solution

  • Selective Carve-Out of company codes in use including 5 years of history
  • Transformation and migration of data to SAP S/4HANA private cloud
  • Merge data into productive SAP S/4HANA private cloud environment
  • Adjustment of conflicting configuration and customising

Selective Data Transition – Benefits

  • Seamless transition to SAP S/4HANA without business disruption
  • Leverage new Fiori apps where beneficial
  • Only relevant data was migrated
  • Financial data transformed upon NewGL Charts of Accounts, Cost Center and Profit Center Structure
  • Value-adding S/4HANA functionality implemented: document splitting, Universal Ledger Margin Analysis, New FI Asset Accounting, etc.

cbs ET Enterprise Transformer: pacesetter and success driver for selective data transition to the new SAP world

cbs ET Enterprise Transformer for SAP S/4HANA is the world’s first comprehensive standard software for holistic SAP data transformation. cbs ET enables a value-based approach to data selection, allowing all relevant data to be transferred, irrespective of status. With cbs ET, selective process changes, such as process standardization and harmonization or the implementation of S/4 innovations, can be applied efficiently and consistently to all master and transaction data. cbs ET also offers complete flexibility in the choice of cutover scenarios – both in stages (for example, by company code), as well as in one big bang using near-zero-downtime functionalities.