SAP CRM Migration for a Chemicals Group — Zero Data Loss Across 180,000 Customer Records

"Every previous migration project I have been involved in resulted in data loss and a two-month cleanup. Celumai was the first team that treated data quality as a pre-migration requirement rather than a post-migration problem."

— Global Head of Sales Operations, Specialty Chemicals Group

The legacy system had 14 years of customer data, 180,000 accounts, 2.3M activities, and active opportunities worth €340M. Data quality was inconsistent across regions. The migration had to happen in a 48-hour window to avoid disrupting EMEA and APAC sales teams.

We ran a 10-week data quality programme before migration began — deduplicating accounts, standardising address formats across 12 country formats, resolving hierarchy conflicts, and mapping 340 legacy fields to SAP Sales Cloud. The actual migration executed in 31 hours with zero data loss, validated by automated reconciliation scripts checking every record.

Migration completed in 31 of the 48-hour window. Zero records lost. Data quality score improved from 61% to 94%. Sales teams were operational in SAP Sales Cloud the following Monday with full history intact.

Is this familiar?

SAP challenges in Manufacturing — what we see most often

Businesses in Manufacturing running SAP often face the same underlying issues: data quality problems that compound over time, automation configurations that worked at launch but have not kept pace with the business, and adoption gaps that mean the CRM captures only a fraction of what it should.

The challenge is rarely the platform itself. SAP is capable of handling this complexity. The challenge is the implementation — the data model decisions, the integration architecture, and the process design that determine whether the platform works for the business or against it.

Celumai specialises in SAP implementations and rescues for Manufacturing businesses. If the issues described in this case study are familiar, the causes and solutions are likely similar.