This blog explores key master data quality and CVI challenges faced by organizations in Accra, Ghana during SAP S/4HANA migration, and outlines best practices for a smooth, future-ready transition.

Organizations in Ghana, primarily based in Accra — the country's primary business centre — are moving quickly to transform their enterprise systems to meet the increasing demands of today’s fast-paced digital world. Digital transformation presents numerous challenges for organisations; one area that requires special attention is that of Master Data Quality and Customer-Vendor Integration (CVI). Large projects can be jeopardised or fail to succeed depending on how well these foundational issues are resolved as companies migrate to SAP’s next-generation ERP platform.
As more companies are beginning to consider SAP S/4HANA Migration, having an understanding of data quality and integration issues is critical to having a smooth transition and achieving operational excellence.
The essential data records that all customer, supplier, product, and financial entities are based on, known as master data, serve as the fuel for today’s enterprise systems. When this is inaccurate, inconsistent, or duplicated, it can hinder all business processes from purchasing and invoices to compliance and analytics.
There are still several organisations in Accra that use obsolete systems - sometimes multiple separate systems - making master data quality an extremely important issue. The three main problems are:
1. Inconsistent Customer Records - Customer information may be stored across CRM systems, billing systems, and/or spreadsheets. Without any form of standardisation, one customer can have multiple IDs, addresses, or contact information, leading to inaccurate reporting and issues relating to integration with the financial systems.
2. Poor Vendor Master Management - Vendor information is typically fragmented across procurement, taxation, and/or legacy ERP systems. This causes issues with processing vendor payments, performing compliance checks, and tracking supplier performance, all of which are critical in Ghana’s fast-evolving trade environment.
3. Duplicate Master Data - Duplicate record entries for customers and vendors increase operational costs and decrease confidence in the analytics relating to the data. Duplicate data is frequently the result of legacy systems not enforcing master data governance.
One of the most significant technological changes that Ghanaian businesses encounter when transitioning to modern technology is CVI, or customer-vendor integration. This is an SAP methodology for bringing! together both customers and vendors under a single business partner model by creating an integrated system with master data for each customer/vendor.
SAP S/4HANA is built around a unified system (the Business Partner) to provide all the necessary information to support both customers and vendors (as well as other relevant users), unlike in the legacy SAP ECC environment, where customer and vendor data are kept separate. If an organization migrates from ECC to S/4HANA with master data that has not been properly prepared for CVI, it can lead to:
Because of all the issues associated with migrating to SAP S/4HANA, CVI should be a fundamental component of a business's migration strategy.
Organizations in Ghana face unique barriers when preparing for migration:
1. Fragmentation of Legacy Systems
Many organizations utilize outdated ERP systems that do not integrate or provide real-time data governance capabilities. Significant effort is needed to clean and harmonize data before these legacy systems can be upgraded.
2. Lack of Data Governance
When there are no dedicated data governance teams, the quality of master data suffers. Poor naming standards, bad data entry controls, limited oversight, and inconsistent use of terms all make for a major challenge in improving master data quality.
3. Shortage of Local Expertise
Even though today's tech industry in Accra is experiencing rapid growth, there is still a shortage of experts specializing in areas such as using CVI and SAP S/4HANA Migration Cockpit. Therefore, organizations frequently require outside assistance or training to maneuver these complexities.
4. Compliance and Regulatory Environment
Multinational corporations conducting cross-border activities often encounter numerous regulatory complexities associated with master data through Ghana's tax laws, trade compliance regulations, and data protection standards.
The Migration Cockpit (SAP S/4HANA) is an essential tool for companies to make the transition from legacy systems to SAP S/4HANA. It enables companies to efficiently transfer their master data into SAP S/4HANA by:
• Mapping data
• Validating data
• Defining transformation rules
• Automating uploads
However, just having the Migration Cockpit will not ensure success if you do not have quality source data; otherwise, the Migration Cockpit will simply move bad data from the old system to the new system.
To meet the challenges of using SAP S/4HANA, organizations in Ghana must implement a strong and clear migration strategy. Below are some of the best practices to follow:
1. Establish a Data Governance Framework
Create a data governance office that establishes data standards, validation rules, and stewardship roles for all data used by your organization. This will help ensure the following:
- It provides consistency in defining master data.
- It provides clarity of ownership for all records.
- It provides better long-term quality of the data.
2. Conduct an Extensive Data Audit
Before migrating your master data to SAP S/4HANA, you must conduct an exhaustive audit of all existing master data for duplicates, gaps, and outdated/inaccurate records (using standard audit methodologies). The results of the audit will provide the basis for your data transformation and alignment with the Customer Value Index (CVI).
3. Clean Up Your Master Data Before Migrating
Before you begin any migration activities, you need to cleanse your master data. This will assist in reducing the chances of migrating poor-quality data and will facilitate a smoother transition into the SAP S/4HANA Migration Cockpit.
4. Ensure consistency of Business Partner data
To be eligible for the Business Partner function in SAP, customer and vendor information has to be reworked according to SAP's Business Partner rules.
These include:
Conventions for naming consistency
Format for addresses that is consistent throughout the business
Consistent account structures across the business
5. Provide training to local teams regarding CVI and Migration tools
Your IT team and your functional team should receive training regarding:
CVI principles and processes
Migration Cockpit within SAP S4/HANA
Best practices for establishing governance of master data
Knowledgeable teams within your organisation will give your organisation long-term control and flexibility.
6. Validate data incrementally
You should validate data in stages, rather than validating all of the data in one step. Validating the data incrementally will allow for errors to be discovered earlier and allow for the establishment of checkpoints during the data migration process.

Businesses across the City of Accra (and elsewhere) should view their transition to SAP S/4HANA not merely as a technical evolution, but strategically as a transformative one, since establishing a foundation of good master data quality and CVI readiness is crucial to being successful at the transition.
Ultimately, if organizations prioritize data governance, clean up their master data, and align with SAP’s Business Partner model, they will achieve:
- Reduction of operational risks
- Enhanced compliance and reporting
- Improved accuracy of forecasts
- Streamlined customer and vendor processes.
Conversely, organizations that do not assume responsibility for data quality and preparation for CVI will face costly re-work, delayed migrations, and ongoing disruption of their operations.
Prompt Edify specializes in guiding organizations through SAP S/4HANA Migration, Legacy System Upgrade, and ECC to S/4HANA transitions — including the complex world of Master Data Quality and CVI.
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