Phoenix - Your AI AssistantSAP Master Data Cleanse & Standardisation — Vendors or Customers
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3 days
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What you get with this Offer
I will audit, cleanse, and standardise up to 1,000 vendor or customer master data records in your SAP system — identifying and resolving duplicates, missing mandatory fields, inconsistent naming conventions, incorrect account groups, and payment or tax data errors. Dirty master data is the root cause of payment failures, incorrect reporting, and compliance issues that cost businesses significant time and money to untangle.
The process includes a pre-cleanse analysis report, data corrections applied directly in SAP or delivered as a structured correction file for your team to apply, and a post-cleanse summary showing the before/after state of your master data quality. I'll also provide a set of naming convention and field completion standards your team can follow going forward.
Suitable for businesses running SAP ECC or S/4HANA that are preparing for a system migration, financial audit, or simply experiencing downstream problems caused by unreliable master data in procurement or accounts receivable.
The process includes a pre-cleanse analysis report, data corrections applied directly in SAP or delivered as a structured correction file for your team to apply, and a post-cleanse summary showing the before/after state of your master data quality. I'll also provide a set of naming convention and field completion standards your team can follow going forward.
Suitable for businesses running SAP ECC or S/4HANA that are preparing for a system migration, financial audit, or simply experiencing downstream problems caused by unreliable master data in procurement or accounts receivable.
What the Freelancer needs to start the work
Please export the relevant master data records to Excel or CSV (or provide system access), confirm whether this is vendor master (MM) or customer master (SD), and describe any known data quality issues or specific fields causing problems.