SAP ECC to S/4HANA, consolidations, major migrations
Don’t discover your data problems during migration.
Measure the source data against business rules before the programme commits, and watch readiness improve across mock cycles instead of negotiating with it under a countdown.
Profile
Source objects, before mapping
Assess
Business rules, not tool defaults
Prioritise
Cleansing sized and owned
Monitor
Scheduled runs through the programme
Re-measure
Every mock cycle, every rule
Go live
On measured data, then keep running
Migrations discover data problems. They do not create them.
Readiness monitoring moves the discovery off the critical path, to before the programme commits.
- Source data profiling
- Distributions, blanks, outliers and structure across customer, material and sales area objects, before mapping starts.
- Business rule validation
- Technically valid is not business valid. Rules encode what the target process needs: the account group that fits how the customer trades, the plant that can actually supply.
- Data cleansing priorities
- Failure files by domain and rule, ranked by count and severity, turn a vague cleansing workstream into sized, owned work with an SAP transaction against each item.
- Readiness monitoring
- Scheduled runs keep measuring while the programme runs, so cleansing in the source is confirmed overnight and quality debt cannot roll silently forward.
- Trends across mock cycles
- Run history shows each rule's direction from one cycle to the next. The go-live inherits measured data, not assumed data.
- After go-live
- The same rules keep running on the new system. A migration is a moment; data quality is a process.
Beside the migration framework, not instead of it.
Ixia DQ does not extract, transform or load, does not reconcile source to target, and does not run the cutover. It tells the programme, every night, whether the data it is about to move meets the rules the business wrote.
Ixia DQ provides
- Profiling of the source objects
- Business-rule validation on every run
- Failure files by domain, rule and record
- Trend per rule across mock cycles
- Evidence for data quality gates
The programme and its tools provide
- Extraction, transformation and load: SAP Migration Cockpit, SAP Data Services, Syniti, JiVS
- Value-level migration reconciliation
- Cutover planning and management
- Financial reconciliation and sign-off
- Business validation of migrated data
Formal reconciliation proves completeness, totals, values and relationships between source and target and ends in a named owner’s sign-off. Ixia delivers it under data migration reconciliation and migration assurance. Readiness monitoring feeds those gates with evidence about the source.
Measure the source before the migration does.
A demonstration on example data, or a scoped assessment of one domain with the findings sized for the programme plan.