Based on a reliable data architecture, we create reports and dashboards that create transparency and reliably fulfil regulatory requirements.
We develop reporting solutions that consistently map key figures, support governance requirements and serve both specialist departments and management.
Using tried-and-tested tools such as Power BI or Tableau, we ensure clear structures, traceability and trust - both internally and vis-à-vis regulators and auditors.
Many years of experience in the implementation of analytical SAP applications
Expertise in implementing classic data models (3NF) as well as Data Vault 2.0
Smart data management and in-depth process knowledge
All consulting services at a glance
- Implementation of technical and regulatory reporting requirements
- Requirements analysis, data preparation and validation of results
- Design & realisation of standard, management and ad-hoc reports
Technology expertise from experience
We know the relevant technologies down to the last detail
– from classic to innovative.
- SAP FPSL
- SAP FRDP/FSDP/FSDM
- SAP HANA XSA
- SAP PowerDesigner
- SAP Enterprise Architecture Designer
- SAP Information Steward
- SAP Business Objects
- SAP Business Explorer
- SAP HANA Studio
- SAP Fiori Architecture
We combine tried-and-tested methods from traditional data warehousing with the possibilities of modern cloud data platforms.
This results in flexible, high-performance solutions that deliver reliable company data - and at the same time create room for innovation, AI and self-service analytics.
Clean, harmonised data is the foundation of every data-driven organisation.
We model according to 3NF, Star Schema or Data Vault 2.0, integrate data from a wide variety of sources and create a consistent database for reporting, controlling and governance.
Your benefit: maximum data quality, transparency and traceability - for decisions that work.
When data volumes grow and requirements become more dynamic, the data lake comes into play.
With technologies such as Azure Data Lake, Synapse, Databricks or Fabric, we create scalable environments in which structured, semi-structured and unstructured data flow together.
Whether streaming, machine learning or exploration analyses - your data is ready when you are.
The best of both worlds
We don't think of data warehouses and data lakes as opposites, but as complements. In the so-called Lakehouse approach, we combine stable, verified company data with the agility of modern cloud technologies.
The result: an integrated data platform that works reliably today - and opens up new possibilities tomorrow.
Many years of experience in the implementation of analytical SAP applications
Expertise in implementing classic data models (3NF) as well as Data Vault 2.0
Smart data management and in-depth process knowledge
All consulting services at a glance
- Architecture management - defining data architecture blueprints and ensuring interoperability between data warehouse, data lake and cloud platform
- Data integration - merging heterogeneous data sources into a consistent, quality-assured database
- Data warehouse - modelling harmonised data structures according to 3NF, Star Schema or Data Vault 2.0
- Data lake - linking structured and unstructured data in scalable cloud environments as a basis for the use of artificial intelligence
Technology expertise from experience
We know the relevant technologies down to the last detail
– from classic to innovative.
- SAP FRDP/FSDP/FSDM
- SAP HANA XSA
- Data Lake Storage
- Data Factory
- Data Bricks
- SAP PowerDesigner
- SAP Enterprise Architecture Designer
- SAP Information Steward
We combine in-depth industry expertise with state-of-the-art AI technology. Our hybrid AI approach combines classic machine learning models, deep learning and generative AI - for example for precise predictions, intelligent text processing or automated decision-making processes.
With agent-based analysis and response systems, we orchestrate
multi-agent frameworks that perform complex tasks independently, overcome system boundaries and can be flexibly and scalably integrated into existing environments such as SAP HANA or internal data sources.
Whether risk model, chatbot or research agent - together with our customers, our experts develop a customised strategy that sustainably improves their day-to-day digital work.
Customised AI solutions for financial service providers
We combine sound advice with state-of-the-art technologies
Our full-stack approach is based on Python, Flask and Streamlit, supplemented by powerful interfaces via REST APIs, SQL and remote functions for SAP HANA systems.
In the area of machine learning, we rely on supervised and unsupervised processes, deep learning and specific models for clustering, anomaly detection or domain-specific forecasts such as casting predictions. Generative AI and agent frameworks such as LangChain and LangGraph enable dynamic, context-based response systems – combined with KnowledgeGraphs and optional human-in-the-loop for critical decisions.
Visual models such as DocLing, OCR technologies and structured JSON output are used for document processing – ideal for analysing contracts or energy certificates.
Automated e-mail processes, report generation and chat apps round off our portfolio. This is how we create end-to-end solutions - from data integration and analysis to smart communication. Always customised, always industry-oriented.
- Development of a holistic AI strategy
- Development and implementation of applied AI solutions for the automation and optimisation of data-driven business processes
- Design and deployment of AI agents that can make autonomous decisions and intelligently support operational processes
- Design and implementation of collaborative AI frameworks for effective collaboration between humans and AI systems
We do not offer a ready-made product, but rather a toolbox that our customers can use to organise their daily tasks more efficiently. We work closely with our customers to identify use cases in which our range of services can create added value for any organisation.
Our customers decide on the scope of functions, the connection of the desired systems and data sources as well as the authorisation management. In this step, they work with us to define functional and non-functional requirements for their solution and outline their customised digital assistant.
Our experts work closely with our customers and their users to develop and implement a customised intelligent assistant in their IT infrastructure and ensure smooth commissioning through regular testing and further development of the solution.
More about
Data & AI Solutions
- Data Management.
- From data warehouse to data lake »
- AI & Automation Stack.
- Tailor-made efficiency gains »
