Move SAP data into Snowflake.
Define the scope, history, mappings, and validation before cutover.
We assess current and historical data from SAP ECC, SAP S/4HANA, and SAP BW, together with reports, interfaces, batch processes, and downstream dependencies. We define the target design, source-to-target mappings, and validation criteria for the current environment, and provide cutover and stabilization support within the agreed scope.
Design the target around how SAP data is used—not only how it is stored
Replicating tables does not by itself carry forward the definitions and calculation logic used in current operations. We examine SAP structures together with the reports, programs, interfaces, batches, and downstream systems that give the data its business context.
Structures and references
Examine relationships among SAP modules and tables, including keys, codes, and reference structures.
History and time basis
Define the historical periods and timing criteria required for analysis and traceability.
Calculation logic
Review calculations and aggregation rules used in existing reports and programs.
Interfaces and downstream use
Assess how interfaces, batch processes, existing warehouses, data marts, and downstream systems use the SAP data.
Define scope and validation before migration begins
Assess the current landscape
Review SAP versions, modules, data structures, history, interfaces, batches, and current use. Select an extraction approach after considering permitted interfaces, change-data requirements, and source-system load.
Define the target and mappings
Set the data and history in scope, source-to-target mappings, target data model, validation criteria, and migration sequence.
Migrate and reconcile
Build extraction, transformation, and loading pipelines, then verify consistency between the source systems and the migrated data in Snowflake.
Support cutover and stabilization
Plan and support cutover with business operations in mind, then check migrated data and pipeline status and address issues within the agreed scope.
Review the systems and dependencies that shape the migration
The environments below are examined where they affect migration scope, target design, validation, or downstream operations.
SAP ECC & SAP S/4HANA
Review module-level data together with master data, transactions, and required history.
SAP BW
Examine InfoProviders, Queries, existing reports, and how they are currently used before defining the migration scope.
Existing warehouses & data marts
Review the models, calculations, and batch processes that currently transform or consume SAP data.
Interfaces & downstream systems
Identify impacts on business systems, analytics tools, and external integrations that use SAP data.
Use agreed criteria to check data and pipelines before and after cutover
Source-to-target reconciliation
Compare migrated records, key fields, and required history between SAP and Snowflake against the agreed validation criteria.
Reports and calculation logic
Check key calculations and analytical results against the reports and logic identified during assessment.
Pipeline and interface status
Confirm that migration pipelines and affected interfaces are operating as defined for the cutover scope.
Post-cutover checks
Review migrated data and pipeline status after cutover and address identified issues within the agreed stabilization scope.
Add a shared data model for analytics and AI when needed
When the intended use includes analytics or AI, SAP data can be incorporated into an Enterprise Data Model and Semantic Layer so BI and AI can use reviewed business definitions and calculation rules. This work is provided through the AI-Ready Data Foundation service when required.
View AI-Ready Data Foundation →Define migration scope around how the data is used—not the number of tables
Our experience in SAP ERP, BI and data warehousing, Data Governance, and enterprise-system implementation helps us identify the data and history that current business processes and reports depend on.
We assess the scope based on intended use, downstream dependencies, and operating constraints.
Start with the SAP landscape and the reason for migration
Tell us which SAP products, versions, and modules are in use, how BW or existing warehouses operate, which data and history are being considered, and what Snowflake must support. We will help identify the first scope to review.
Discuss an SAP Data Migration →