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Optimize · Business Data

Business data quality as an operating capability.

Data quality, reconciliation and integration architecture that make reporting and automation trustworthy.

When to consider it

When Business Data fits

Signals that point here

  • Reporting and automation depend on data the business does not yet trust
  • Data quality and reconciliation need ongoing ownership
  • AI and automation initiatives require data readiness first

The business problem

Performance, resilience and data quality determine whether business-critical SAP can support transformation and growth.

What SMS SAPX does

Scope of work

  • Data quality and reconciliation
  • Master and transactional data controls
  • Integration architecture
  • Data readiness for AI
  • SAP data migration
  • Reporting foundations

How to begin

Start with a focused first step

Start with focused discovery or assessment, establish the business and technical baseline, then define the right delivery model for execution.

  1. Assess
  2. Architect
  3. Mobilize
  4. Execute
  5. Stabilize
  6. Optimize

Entry assessment

Typical duration: ~2 weeks

SAP Data Migration Assessment

Assess source data, quality, mapping, migration controls, reconciliation and cutover risk.

Discuss your SAP priorities with a senior practitioner.

Start with the problem. We will tell you what we can substantiate and what needs to be assessed.