From gut feeling to verifiable facts
Make strategic decisions based on reliable data and no longer on pure intuition.
As a partner for modern data warehouse services, I help you to optimize or set up your data infrastructure and thus create the basis for efficient data analyses and precise business intelligence.
You spend too much time manually preparing data?
A strong data warehouse is the key to meaningful analyses, but there is often a lack of internal resources to set it up or develop it further.
This is exactly where I jump in.
I will show you how to process data efficiently so that you can make fact-based decisions faster. I also support or take over the implementation of your data architecture so that your team can continue to focus on day-to-day business.
Consistent
data basis
Reliable data transformations and proven data models ensure that the data basis is consistent and correct. This gives you a solid basis for reliable decisions.
Future-proof
solutions
I use modern technologies to develop data solutions that can be adapted to future technological developments. So your investment remains secure in the long term.
Scalability
As your company grows, so do your data requirements. To this end, I develop scalable data infrastructures that can be easily expanded as your data and analysis requirements evolve.
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Are you facing a strategic decision in the area of data architecture or would you like to make your data processes more efficient?
With specialized consulting, I support you in the planning and optimization of your data warehouse. Whether it's evaluating cloud solutions, selecting the right technology or optimizing existing data processes, together we will find the best solution for your requirements.
Services
Analysis and optimization of the current data architecture
Support in selecting the right data warehouse and ETL/ELT tool
Advice on integrating dbt™ and best practices into the transformation
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Is your data warehouse slowly reaching its limits? New cloud data warehouse services such as Snowflake, Google BigQuery or Amazon Redshift often offer the solution.
I support you in migrating your processes to the cloud.
Services:
Planning the migration to the new data warehouse solution
Migration of data transformations with optional redesign of the data model for cloud efficiency
Validation of data in the new architecture
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In modern data architectures, dbt™ is now the standard for all data transformations. Would you also like to benefit from the advantages of dbt™ such as version control, data lineage or test functionalities?
I will show you how you can integrate dbt™ into your data architecture and use it as a transformation layer for your data warehouse using best practices.
Services:
Setting up dbt™ in the data architecture
Creating initial models and metrics
Configuring automated tests and documentation
Creation of development guidelines for creating models
Training or workshop for the tool & best practices
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Do you currently lack the personnel or know-how to prepare data properly? One solution to this problem is to outsource the activities to a partner.
In this case, I continuously prepare the data in your data stack so that you and your team can focus on analysis and data-driven decision-making.
Services:
Continuous data transformation and quality monitoring
Creation of individual data models
Technical maintenance and management of data pipelines
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Semantic What?! Not all potential users of a data warehouse speak fluent SQL. This is where a semantic layer, which defines metrics and makes them easy to use for non-technical users or self-service reporting tools, can help.
Services:
Building the semantic model and defining metrics
Connection to reporting tools
Semantic Layer trainings or workshops
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The requirements for the data infrastructure are usually just as individual as your company itself.
Do you need support for a specific problem? Together we will find the right solution.
Practical report
Efficient data processing in the cloud with Redshift, dbt & Airflow
Learn in this case study how a customer successfully migrated existing data processing from a traditional Microsoft SQL Server environment to a modern, cloud-native platform on AWS. The report highlights the challenges and steps of moving to a scalable architecture with Amazon Redshift and S3.
A practical example for the modernization of on-premise data landscapes.