SAP Data Migration

SAP Data Migration

Reduces the stress of tracking. Provides a comprehensive migration. Meets the needs of the clients. There is no need for any more programming. You may save a lot of time by being responsible. Customised to meet the specific needs of the company.

We regularly assist our clients in migrating data from servers and computer storage to other servers and storage kinds. We can do this using SAP S/4 HANA Enterprise Resource Planning. We don't just migrate data from one system to another; we also assure its quality. The transferred data is of high quality, ready for use, and secure, ensuring that no information is lost throughout the data migration process.

At Aribasoft, we recognise that every move made by an entrepreneur for his business is extremely important. Whether it's an actual or virtual decision. As a result, we have resolved to give the best possible support to customers running businesses in this competitive period using ERP software. We offer the greatest ERP solutions to our clients, allowing them to better their management processes and attain new heights of success year after year.

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SAP Data Migration

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    The adoption of S/4 HANA is the reason many business owners have selected us or ERP Solutions. The customer's necessary data is migrated from the SAP and non-SAP systems to the S/4 HANA System, which provides complete migration pre-programmed solutions, eliminating the need for the client to conduct any self-programming when utilising our ERP Solutions.

    SAP Data Migration Process Steps

    Data Preparation & Build

    1. Migration Planning & Scope

  • Source Systems Identification
  • Target Systems Identification
  • Data Objects scope identification
  • Data Migration Strategy
  • Data Profiling/Cleansing Strategy
  • Data Enrichment Strategy

    • 2. Extraction & Relevancy Definition

  • Data Extraction Rules/Criteria
  • Data Relevancy Rules for all the in-scope objects

    • 3. Data Profiling, Cleansing & Enrichment

  • Identify/Define the data profiling rules, validations & standards
  • Execute Data Profiling/Cleansing,
  • Generate the Data Quality scorecards & document data cleansing requirements
  • Identify/Document the data enrichment gaps/requirements

    • 4. Data Definitions, Mappings & Conversion Build

  • Define the source to target mapping rules for the in-scope objects
  • Draft the functional specification documents for the in-scope data migration objects with the extraction criteria, filter conditions, transformation rules, load approach, validation process
  • Build & Unit Test the conversion logic/load programs

    • Loads & Validations

    5. Pre-load Validation

  • Execute the pre-load validation rules & Standards
  • Generate Pre-load validation reports
  • Pre-load Data Validation & sign-off
  • Validation documentation

    • 6. LOAD Execution

  • Execute the loads based on the aligned load mechanism
  • Manual vs Automated loads
  • Track the load yield and Report load statistics

    • 7. Post-load Validation

  • Generate post-load reconciliation reports
  • Post-load Data Validation, Error Remediation & Sign-off
  • Validation Documentation

    • Data Migration Architecture