S/4HANA migration: Why good data is the key to success

The digital transformation is fundamentally changing companies: business processes are becoming more efficient, new technologies are opening up opportunities for innovation and expectations of flexibility and agility are increasing. For many companies, the switch to SAP S/4HANA is an unavoidable step towards future-proofing.

Data quality plays a central role in modern ERP systems: clean, consistent and up-to-date data is crucial for the efficiency of business processes and the usability of new functions.

At D&TS, we understand that the transition to S/4HANA is more than just a technical migration. With our expertise in data management and our many years of experience in SAP consulting, we accompany our customers every step of the way.

Why data quality is the key to success

S/4HANA was developed to enable companies to make data-driven decisions in real time, simplify complex processes and implement innovations more quickly. But all of this can only work if the underlying data is reliable, up-to-date and accurate.

S/4HANA is more than just an update of existing SAP systems – it is a new beginning. With simplified data structures and powerful analysis functions, it provides the basis for data-driven decisions and future-oriented business models. 

Advantages of good data

High-quality data is a key success factor for any company introducing S/4HANA. The key benefits include:

• More efficient processes: Clear, consistent data reduces manual effort and enables automated processes.
• Better decision-making: With accurate and up-to-date information, managers can make informed decisions and achieve strategic goals more efficiently.
• Reduced operating costs: Clean data minimizes errors and rework, which in turn saves time and resources.

Good data is the fuel that unleashes the potential of S/4HANA. Companies that invest in data quality not only ensure a smooth transition, but also sustainable competitive advantages in a data-driven business world.

Risks of poor data quality

Poor data quality is one of the biggest risks when introducing and using S/4HANA.
The most common problems include:

• Inconsistencies: Different spellings or formats for the same data elements can lead to incorrect analyses and reports.
• Duplicate data records: If the same customers, suppliers or products exist multiple times in the databases, process automation is hindered and system performance is impaired.
• Outdated information: Data that is not updated can lead to decisions being made on the wrong basis.

The consequences of poor data quality range from increased operating costs to inefficient processes and missed opportunities. In extreme cases, this can significantly affect a company’s credibility and customer satisfaction.

The path to good data: A systematic approach

The success of an S/4HANA migration depends largely on the quality of the underlying data. But what does it mean to have “good data” and how do you achieve this goal?

It’s not just about correcting abvious errors, but also about structuring data in such a way that it meets the requirements of a modern ERP system like S/4HANA.

A systematic approach is essential here. From the initial analysis of existing data to the final migration to the new system –  each step requires careful planning, precise execution and the use of modern tools.

Data analysis and evaluation

Before companies begin the migration to S/4HANA, a thorough analysis and evaluation of the existing data is essential. This phase serves to identify potential data problems at an early stage and to gain a clear overview of the quality and structure of the data.

A systematic approach includes:

• Data inventory: taking stock of all relevant data sources, such as customer, supplier or product data.
• Quality check: Identification of inconsistencies, duplicates and outdated entries using tools such as SAP Information Steward or other analysis tools.
• Categorization: Dividing the data into critical, important and less relevant categories in order to set priorities.

The aim of this phase is to create a roadmap for data cleansing and migration based on the company’s specific requirements.

Data cleansing

Data cleansing is the next step on the way to high-quality data. This involves correcting existing errors and ensuring a uniform structure.

Tools and methods:

• Automated cleansing tools: SAP Data Services, OpenRefine or similar tools can be used to cleanse, normalize and deduplicate data.
• Validation rules: Creation and application of rules to ensure data intregrity.
• Manual validation: In addition to automated processes, critical data should be manually validated to ensure that it meets business requirements.

These measures ensure that the data is correct and consistent before it is transferred to the new system.

Data migration

The migration of the cleansed data to S/4HANA is a key milestone in the project. This is not just about moving data, but also about getting it into a format that is compatible with the requirements of S/4HANA.

The right strategy:

• ETL process (Extract, Transform, Load): Extract data from the legacy systems, transform it and load it into the new system.
• Test runs: Before the final migration, test runs should be carried out to check the quality of the migrated data and ensure that it is mapped correctly in S/4HANA.
• Iterative migration: Migrate data in small, manageable steps to minimize risk and identify errors more quickly.

With a clear, systematic approach to data analysis, cleansing and migration, companies creat a basis for a successful start with S/4HANA. This process requires expertise, precision and the right tools.

How D&TS can help you get started with good data

Migrating to S/4HANA is a complex undertaking that requires in-depth technical expertise and the use of modern technologies. A successful start with S/4HANA begins with the certainty that your data is in the best hands.

With our experience in data management, our expertise in the latest SAP tools and our customer-centric approach, we can help you make the transition to S/4HANA smooth and efficient. From analysis to cleansing to migration and beyond – we’re with you every step of the way.

As a specialized partner for data management and quality, D&TS helps companies make their data fit for digital transformation.

Are you ready to take your data to the next level and lead your company into the future with S/4HANA? D&TS can help you get started with good data. Our team looks forward to understanding your challenges and providing you with customized solutions.

Get started with good data today – and ensure your success in the digital future.