Data Architecture
The foundation for scalability and data quality
The crux of successful reporting and analytics is usually the data and its quality. This data needs a home, which usually takes the form of a data warehouse. Like a real house, this must first be designed by an architect. The main task here is to determine which technologies (databases, software suites, interfaces, etc…) will be used and what the topology will look like: Number of environments, supplier systems, target systems, etc… Whether in the cloud or on premises. We support you in planning your platform and work with you to evaluate the best solution for you.
Why data architecture?
Technology in the data warehouse environment is developing rapidly. Our consultants are always trained in the latest technologies and have a broad background knowledge and the necessary experience to develop the best solution for you. Use this expertise and concentrate on the results: secure and efficient data storage on a high-performance platform for your analysts and data scientists. We specialise in BI solutions on the Microsoft Azure platform as well as software from SAS (SAS 9.4 and SAS Viya).
Our goal
Our goal
Our aim is to develop and implement a robust data architecture that enables efficient data integration, modelling and management. Clear data structures and standards ensure consistent data processing and analysis. A scalable and future-proof architecture enables flexible and agile data utilisation while ensuring the quality and security of the data.
Our services
Consultancy and planning
- Needs analysis, technical consulting and requirements definition
- Analysing the current IT infrastructure and requirements
- Advice on best practices for data integration and security
- Definition of the requirements for the data architecture
- Preparation of an implementation plan (proposal)
Implementation
- Data integration and migration
- Setup and configuration of Azure services for data integration
- Support with data migration from local systems to Azure (if desired)
- Alternatively: Connection of local data sources to Azure instances (“hybrid solution”)
- Implementation of ETL processes (extraction, transformation, loading)
- Data modelling and management
- Development and implementation of data models in Azure
- Implementation of data management tools and processes
- Automation of data processing procedures
- Power BI implementation
- Setup and configuration of Power BI services
- Definition and calculation of metrics and key figures
- Development of interactive dashboards and reports (IBCS-compliant)
- Implementation of data visualisation and KPI monitoring
- Introduction or provision of self-service functions
Optimisation and support
- Performance tuning
- Optimisation of database performance and query speed
- Scaling the infrastructure with growing data volumes
- Security and compliance measures
- Implementation of security protocols and data encryption
- Compliance with legal requirements and data protection regulations
- Management of user access and authorisations
- Training and knowledge transfer
- Training your employees in the use of Azure and Power BI
- Workshops on best practices for data analysis and visualisation
- Provision of documentation and user manuals
- Creation of a data dictionary
Managed services (optionally also using nearshore or offshore resources)
- Continuous monitoring and maintenance
- Proactive monitoring of the Azure and Power BI infrastructure
- System maintenance and updates
- Support and advice
- Provision of 2nd-level support for technical enquiries and problems
- Ongoing advice on the optimisation and further development of solutions
- Adaptation of the systems to changing requirements
