Data Warehouse Modernization
With over 250 successfully completed projects in the field of Data and Analytics, we have built numerous data warehouses and analytics architectures, as well as carried out migrations. In the following, learn about the capabilities of modern data warehouse solutions and how requirements have evolved. We provide comprehensive guidance in selecting the right solution and support you through implementation and migration.
Data Warehouse in Transition
In a data-driven world, an outdated data warehouse often becomes a barrier to innovation and efficiency. Traditional data warehouses are increasingly challenged by the growing complexity of data sources and the rising demand for real-time analytics.
Historically, the primary users of data warehouses were those needing structured reporting. In this context, data warehouses excelled at providing structured, well-organized data for reports, analyses, and business intelligence (BI). However, new user groups have different demands for a data warehouse. Intelligent applications use artificial intelligence (AI) to analyze both structured and unstructured data. Additionally, data scientists and analysts require access to raw data and the ability to model it themselves.
At the same time, there is a growing need to explore how modern data concepts, such as data mesh or data fabric, can be implemented.
Modernizing your data warehouse is the first step in addressing these challenges and future-proofing your organization.
Requirements for a Modern Data Warehouse
- Self Service Data Access
- Scalability
- Business Modeling for ad-hoc Reporting
- Maintainability
- Expandability
- Performance
- Easy Integration
- AI Data Foundation with High-Quality Data
- Future-Proofing
Data Warehousing and Business Intelligence
Business Intelligence aims to answer known questions using existing and heterogeneous data within the company—ideally in real time. When selecting the right solution, it is important to also consider the integration between the data warehouse and Business Intelligence to avoid additional costs.
We Future-Proof Your Analytics Landscape
Are you looking to modernize your data warehouse and explore different options?
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State-of-the-Art Business Intelligence System
The key to success in Business Intelligence and Analytics therefore lies in the underlying Data Warehouse. In our opinion, this is the key to success: a Business Intelligence system that meets the requirements of its users. It is much more than just a data storage place, it is the basis for valuable data analysis and meaningful data visualisation. In our opinion, such a state-of-the-art Business Intelligence system is characterised by the following five success factors.
Performance
Queries must be made available quickly and with high performance.
Data Quality
The error rate must be as low as possible so that the data does not lose quality.
Expandability
In case of new requirements, the system must allow for quick expandability.
Data Actuality
Similar to operational systems, it must be possible to retrieve data in real time.
Maintainability
The time and cost of maintenance must be low in order not to burden the operational business.
We Are the Data Specialists
Expert Consulting
In addition to our proven expertise in data warehousing with standard SAP products, we have extensive experience in building SQL data warehouses and supporting migrations to non-SAP solutions such as Snowflake, Google BigQuery, or Databricks—leveraging our SAP knowledge. You also benefit from our deep understanding of the HANA database.
We guide you from the initial analysis to long-term support, ensuring that your new data warehouse is not only high-performing but also future-proof.
Our Approach
We analyze your existing data warehouse environment, identify weaknesses, and create a clear picture of your current data landscape.
Based on the analysis, we develop a tailored modernization strategy that aligns with your business goals and helps you maximize the value of your data.
We execute the developed strategy, migrate your data to the new environment, and implement modern technologies that elevate your data processing and analysis to the next level.
After implementation, we provide training and ongoing support to ensure that you can fully leverage the potential of your new data warehouse solution.
Companies are faced with the challenge of having to provide ever faster answers from more and more data. We are experts in this.
Solutions in the SAP Context
For a modern analytics architecture, SAP currently offers two products in the area of data warehousing: the strategic cloud solution SAP Datasphere and the classic on-premise data warehouse SAP BW/4HANA. A hybrid solution is also feasible, allowing you to leverage the innovations of SAP Datasphere while taking advantage of the mature technology of BW/4HANA.
Many companies are currently using BW on HANA, whose maintenance will end in 2027, and are faced with the decision of which follow-up solution is the right one.
We are happy to provide guidance on this topic and discuss the advantages and disadvantages, enabling you to make an informed decision.
Why Should You Consider Modernization?
- You want to implement modern concepts like Data Mesh or Data Fabric and advance data democratization.
- You want to promote Self Service.
- You want to be able to respond flexibly and quickly to new requirements.
- You want to be prepared for innovations, such as AI.
- You want easier and faster integration.
- You want to reduce costs.
- You want scalability.
- You want not only extended support but also contemporary functionalities.
Ready for the Next Step?
Contact us to find out how we can modernize your data warehouse. Together, we will make your company ready for the data strategy of tomorrow!
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