SAP BW modernization: The path to a future-proof data platform

What exactly does this term mean and why is it so important to modernize SAP BW? These and other questions are answered here.

The modernization of an SAP BW 7.x landscape presents various challenges and offers a range of solutions. Companies must decide whether they want to rely on SAP BW/4HANA, SAP Datasphere or a hybrid combination of these tools with cloud solutions such as Google BigQuery. It is important to carefully choose the ideal migration path that meets the company's specific requirements. This article examines these options in detail and shows how an existing SAP BW environment can be future-proofed and efficiently set up. From the analysis of the current status to successful implementation, we offer a customized strategy that meets the individual needs of each company.

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What is SAP BW modernization and why should you think about it?

SAP BW (Business Warehouse) modernization refers to the process of updating and optimizing an existing SAP BW landscape to meet the increasing demands for data management, reporting and analytics. SAP currently offers a wide range of modern solutions, including SAP BW/4HANA and the modern cloud solution SAP Datasphere in the area of data warehousing, as well as the SAP Analytics Cloud for reporting, including planning functionalities.

One key reason for modernization is the imminent end of support for SAP BW 7.x in 2027. Companies that want to continue to ensure reliable and efficient reporting must act early to switch to more modern platforms in good time. This is not only a technical necessity, but also an opportunity to make future BI processes more flexible, faster and more powerful.

Another aspect of the possible modernization strategy is the integration of cloud solutions such as the Google Cloud Platform (GCP) with the integrated BigQuery application. These solutions offer companies additional flexibility and open up powerful analysis options that make it possible to process large volumes of data in real time and gain deeper insights.

In addition, the migration of the ERP system to SAP S/4HANA can also have an impact on the existing BW data model. This is therefore an ideal time to review the existing BI and data warehouse solutions and modernize them if necessary - even if an SAP BW/4HANA system is already in use. The changeover to S/4HANA often brings with it new data structures and processes that may require the BW data model to be adapted or optimized. A BW modernization in this context can not only help to support these changes, but also open up new opportunities to improve data-driven decisions and gain a more comprehensive view of company data.

Overall, the modernization of SAP BW is not only a necessary step to ensure system support, but also a strategic investment in the future. By migrating to modern, future-proof platforms and integrating innovative technologies, companies can optimize their data landscapes in a cost-optimized and scalable manner in order to react more quickly to market changes and thus sustainably increase their competitiveness.

BW modernization at a glance

How to get started with a future-proof data platform and how we can support you - options, opportunities and challenges quickly explained.

Successful BW modernization for these customers

Our experience in the modernization of SAP Business Warehouse (BW) systems has enabled us to bring numerous companies up to the latest technological standards. We always implement projects efficiently, reliably and tailored to the specific needs of our customers. Here are some examples of successful BW modernizations that show how we support companies in optimizing their data landscape for the future.

What options does a company have for implementing SAP BW modernization?

You have a range of modern and future-oriented options to modernize your data warehouse and business intelligence landscapes. s-peers AG offers comprehensive advice and support in selecting the best solution to meet your company's individual requirements. Leading options include:

SAP BW/4HANA

The latest generation of SAP business intelligence solutions developed specifically for the SAP HANA in-memory database. SAP BW/4HANA enables faster data processing, simplified data models and offers a future-proof platform for data-driven companies.

SAP Datasphere

A modern, cloud-based data management platform designed to efficiently manage and integrate company data. It makes it possible to seamlessly combine data from different sources and offers advanced analysis options in a secure cloud environment. A key benefit of SAP Datasphere is the ability to federate access to different data sources, such as Google BigQuery, enabling a flexible and scalable data architecture without the need to replicate data. In addition, SAP Datasphere offers the option of creating and distributing data products. These data products make it possible to design data models as reusable artifacts that can be easily shared across different teams and departments.

SAP Analytics Cloud

With the SAP Analytics Cloud, companies can not only create in-depth data analyses and visualizations, but also use integrated planning functions to create precise forecasts and make data-driven decisions. A key advantage of the SAP Analytics Cloud is the ability to connect live to various data sources, for example from BW/4HANA, SAP Datasphere or the S/4HANA system, enabling real-time analysis and decisions without the need to replicate data.

Google Cloud BigQuery

A highly scalable, high-performance cloud data warehouse solution from Google. BigQuery is particularly suitable for companies that want to analyze large amounts of data in real time. With its robust analytics capabilities and the ability to integrate machine learning, BigQuery is an excellent option for companies that need to process data quickly and gain deep insights.

Each of these solutions offers unique benefits tailored to different business strategies and needs. Whether you are looking to transition to a purely cloud-based environment or fully leverage the power of SAP HANA, modernizing the SAP BW system offers the opportunity to future-proof the data architecture, increase efficiency and gain valuable insights. In addition, companies can achieve significant cost savings by optimizing licensing costs and reducing data redundancies. The modernization also creates the basis for a future platform for self-service business intelligence (BI), which enables specialist departments to access their data and perform analyses independently and flexibly. It also offers the opportunity to use new technologies such as machine learning (ML) and artificial intelligence (AI) to gain even deeper insights and predictions and further improve decision-making.

The choice of the right solution depends on the specific requirements of the company and is influenced, among other things, by the scope and complexity of the existing data models and the functions currently used in the BW system.

What are the challenges of SAP BW modernization?

SAP BW modernization is a complex and multi-layered undertaking that entails numerous technical and organizational challenges. This process goes far beyond a simple system upgrade and requires careful planning and implementation.

Historical growth of SAP BW
A central problem with SAP BW modernization is that the data warehouse has grown over many years. It collects data from a variety of sources, which is loaded into SAP BW. SAP BW is a key strategic element for companies - entire monthly and annual financial statements depend on the data being up-to-date and available. The challenge is to migrate all this data and its correlations to the new solution without compromising the quality or availability of the reports.
Complexity of the existing system landscape
Over the years, many complex, company-specific extractors, transformations and applications have been developed in SAP BW. Extensive preparations are required before a migration to SAP BW/4HANA, depending on the database used and the Support Package Stack (SPS) installed. This includes ensuring the compatibility of new technologies with existing processes and data models. Non-HANA-optimized objects, such as ODSOs, cubes, SPOs and MultiProviders, must be converted into HANA-optimized objects. The SAP Simplification List provides an overview of the objects to be converted.
Optimizations during modernization
Modernization also offers the opportunity to address existing problems and introduce improvements. For example, the LSA++ concept (Layered Scalable Architecture) can be used to reduce data redundancies and simplify the data architecture. In addition, the switch to a uniform naming convention and the introduction of ODP (Operational Data Provisioning) can ensure an optimized connection of the source systems. However, this requires a great deal of detailed work and planning to ensure that no data or processes are lost or become inefficient.
Effects on the front end
Depending on the migration path chosen, modernization can have a profound impact on the front end. Tools such as SAP Analytics Cloud (SAC), BusinessObjects (BO) and Analysis for Office (AFO) are closely interlinked with the BW backend. Therefore, reports, SAC stories etc. may need to be adapted after the migration to ensure that they continue to function properly. This can involve considerable effort, as many adjustments have to be made manually.
Ensuring data quality and testing
One of the biggest challenges during modernization is ensuring data quality. In the new environment, all migrated data must be thoroughly checked to ensure that no data corruption occurs and that the accuracy of the reports remains guaranteed. In addition, there are tests for the authorization concept. Only intensive test phases can ensure that the system goes live smoothly and supports all critical business processes.
Training and adaptation of specialists
Successful modernization requires that the system managers and developers understand and can effectively use the new functionalities and tools that are introduced as part of the migration process. Training must therefore be provided to ensure that all employees involved are familiar with the new technologies and can fully exploit the possibilities of the modernized system landscape.

What services does s-peers AG offer as part of SAP BW modernization?

Thanks to its many years of expertise, s-peers AG offers holistic support for companies wishing to modernize their existing SAP BW 7.x landscape. The process is divided into four key phases in which the modernization is tailored to the customer's specific requirements and objectives.

Situation analysis

Influence of a parallel SAP S/4HANA migration: If a parallel SAP S/4HANA migration is planned, there will also be necessary adjustments and changes on the data warehouse side. It is important to include these in the modernization strategy at an early stage in order to optimally coordinate the migration steps.

Architecture workshop: As part of a workshop, the current architecture is analyzed and classified at object level. Based on this analysis and the needs of your company, the optimum future architecture is defined and presented. Various constellations are conceivable, including

1.

SAP BW 7.x (anyDB/onHANA) to SAP BW/4HANA

2.

SAP BW 7.x (anyDB/onHANA) to SAP Datasphere (with/without SAP BW Bridge)

3.

Hybrid solution: SAP BW/4HANA and SAP Datasphere

4.

SAP BW/4HANA to SAP Datasphere (with/without SAP BW Bridge)

5.

Integration of Google Cloud BigQuery

Based on the selected future architecture, various migration paths are presented that are tailored to the specific requirements of the company. Technical dependencies and the data sources used play a particularly important role here. Depending on the situation, suitable migration paths are found and the advantages and risks of the various approaches are discussed.

Preparation for modernization

s-peers AG offers a comprehensive analysis of the existing SAP BW 7.x system in order to prepare the modernization process. Necessary activities are identified and documented.

Based on the analyses, a detailed migration plan is created that describes the sequence of the migration, the distribution of tasks and the time schedule. This minimizes the risk of downtime and ensures a controlled system changeover.

Implementation of the modernization

Migration and system conversion

s-peers provides you with comprehensive support during migration and system conversion. Our service focuses on redesigning data modeling, efficient data transfer and adapting the system architecture to promote seamless integration and optimal system performance.

Testing and validation

We offer detailed test phases to check the correct data transfer and evaluate the functionality of the system after the migration. We attach great importance to ensuring that all systems run smoothly and that data integrity is guaranteed.

Training courses

s-peers organizes targeted training for end users and developers to familiarize them with the new tools and processes. Our training helps your employees to quickly familiarize themselves with the new systems and use them effectively.

Support after the GoLive

Hypercare phase

In the first few weeks after the go-live, we offer close support in order to quickly identify and resolve any problems. This intensive support ensures that the systems run stably and initial challenges are overcome promptly

Long-term support

Even after the go-live, we are always at your side. Our service includes assuming overall responsibility for analytics, user management and support with system upgrades. We offer Application Management Services (AMS) including 2nd & 3rd level support and provide further training in the areas of SAP BW, SAP DSP, SAP ABAP in BW, AMDP in BW and other relevant topics. In this way, we ensure that your systems always function optimally and that your employees are always up to date

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Your contact for SAP BW modernization

"Together, we will bring your BW up to date so that you can work in a future-proof manner and are optimally equipped for future challenges - in a spirit of partnership and sustainability."

Eugen Gering
Eugen Gering
Head of Data Warehousing

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