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In a data-driven world, an outdated data warehouse often becomes a barrier to innovation and efficiency.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.
In the market, lakehouse architectures have become increasingly established, leveraging cloud services to meet growing demands on modern data platforms. The need for accessible, reliable data has risen with the adoption of AI—and will continue to accelerate in the coming years. Whether for AI initiatives or regulatory reporting, trustworthy data is critical for enterprises. This is supported, among other things, by data governance capabilities such as data lineage.
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
- Data Governance
- Maintainability
- Expandability
- Performance
- Easy Integration
- AI Data Foundation with High-Quality Data
- Future-Proofing
We Are the Data Specialists
Expert Consulting
Neben unserer nachgewiesenen Expertise im Bereich Data Warehousing mit Standard-SAP-Produkten (SAP BW, SAP Analytics Cloud, SAP Datasphere) verfügen wir über umfassende Erfahrung im Aufbau von SQL Data Warehouses und unterstützen Sie auch bei der Migration zu Non-SAP-Lösungen wie Snowflake, Google BigQuery oder Databricks – unter Einsatz unseres SAP-Know-hows. Dabei profitieren Sie zusätzlich von unserem tiefgehenden Wissen über die HANA-Datenbank.
Wir begleiten Sie von der ersten Analyse bis hin zur langfristigen Betreuung und stellen sicher, dass Ihr neues Data Warehouse nicht nur leistungsfähig, sondern auch zukunftssicher ist.
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.
We Future-Proof Your Analytics Landscape
Are you looking to modernize your data warehouse and explore different options?
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Solutions in the SAP Context
With the SAP Business Data Cloud (BDC) SAP is delivering a product thatmany have been waiting for. It combines the strengths of SAP technologyand expertise with the capabilities of Databricks.. At the same time, it enables companies toseamlessly integrate their existing BW systems into this new architecture and gradually transition to the new pillars of the BDC at their own pace.
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.
Companies are faced with the challenge of having to provide ever faster answers from more and more data. We are experts in this.
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 need stronger data governance.
- 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!
Get In Touch With Us Now