Data Migration: how to reduce risks and costs in SAP data migration

Data Migration is one of the most critical moments in any digital transformation project. When it comes to SAP S/4HANA, the complexity increases — and with it, the risks of delays, unforeseen costs and implementation failures.

In this new 4MDG blog post, we will explore how efficient data migration can ensure the success of SAP projects and prevent inaccurate information from compromising the entire operation.

Data Migration: why is migrating SAP data such a big challenge?

Migrating data is not just about transferring information from one system to another. It is a process that requires strategy, data cleansing and data governance.
According to the e-book Data Migration, written by Paulo Cordeiro, CEO of 4MDG, around 40% of SAP implementations face serious problems and, in almost half of these cases, the error lies precisely in the data migration.

The reason? Complex structures, interdependence between modules and lack of standardization. In SAP, an error in a single table can generate chain impacts, harming sales, deliveries and even billing.

Data Migration: the risks of leaving data cleansing in the client's hands

A common mistake among SAP partners is delegating to the client the responsibility of cleaning and organizing their own data.
Although it may seem like a way to reduce costs, this strategy usually produces the opposite effect.

Without technical knowledge, time or adequate tools, the client tends to deliver incomplete, duplicated or incorrect data, which causes rework and compromises the schedule.
In addition, the lack of standardization in descriptions and tax classifications can affect invoice issuance, generate tax inconsistencies and impact the end-user experience.

Data Migration: cleansing and standardization before migrating

Before any migration, it is essential to ensure that the data is clean, validated and enriched.
Data cleansing is the foundation for a successful SAP project and one of 4MDG's specialties.

Well-structured data reduces failures, increases productivity and ensures compliance with tax and legal regulations. In addition, it facilitates the use of advanced technologies, such as artificial intelligence and analytics, after the migration.

A good practice is to carry out Material Descriptive Standardization (PDM) and tax reclassification before the migration. This ensures accuracy in invoices and improves inventory management.

Data Migration: why relying on specialists makes a difference

Data Migration requires more than tools — it requires experience.
Having a team specialized in SAP data migration significantly reduces the risk of rollback (returning to the old system due to failures in the new environment).

4MDG applies its own methodologies and automation at every stage: extraction, cleansing, transformation, load and validation.
The result? A secure transition, with no interruptions and with data ready to generate value from day one.

A specialized consultancy reduces risks and avoids delays, applying proven methodologies and automation to accelerate the process without compromising the integrity of the information.

Data Migration is about quality, not just transfer

Data Migration is a game changer in SAP projects.
More than moving information, it is about ensuring that the right data is in the right place at the right time.
With governance, automation and specialists by their side, companies avoid failures, reduce costs and accelerate innovation.

Download the free e-book “Data Migration” now, written by Paulo Cordeiro, and dive deeper into the best practices that can transform your SAP projects.