SAP S/4 HANA Data Migration

Reduces Stress of Tracking. Provides Comprehensive Migration. Fulfills Clients’ requirements. No Further Programming Needed. Save a lot of time with responsibility. Customized as per the business requirements.

We constantly help our clients in moving the required data from the servers and computer storage to other servers and storage types. We are able to perform this through the SAP S/4 HANA Enterprise Resource Planning. We not only move the data from one system to the other but we ensure its quality too. The migrated data is in high quality, fit to use and secured so that no information is lost during the process of Data Migration.

At Zora Tech we understand that every step was taken by an entrepreneur for his enterprise matters a lot. Either it is the physical decision or virtual ones. So we have decided to provide our maximum support to the clients who are running businesses in this competitive era through the ERP software. We provide the best ERP solutions to the clients so that they can improve their management process and achieve their goals at a new height of success every year.
The reason why many businessmen have chosen us or ERP Solutions is the implementation of S/4HANA. The client’s required data gets migrated from the SAP system and non-SAP system to the S/4HANA System which provides comprehensive migration pre-programmed solutions so that the client has nothing to do with self-programming at any stage while using the ERP Solutions by us.

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

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