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Data Architecture & Engineering Consulting
Moving, storing & serving your data
Our team will partner with you to design and build modern data architectures, solutions & pipelines which get your data moving quickly and reliably to fuel your business.
Modern data architectures
- Consulting to help you navigate your tool selection & procurement process to pick the right technology for your use case and team setup (like Apache Kafka for streaming data, Spark and Databricks for processing or data warehousing solutions like Snowflake and BigQuery)
- Designing & building data systems that move your data fast, store it safely and make it always available
- Migration from legacy system to modern solutions and systems like cloud-based data lakes, warehouses or lakehouses
- Assessment & future-proofing of existing tool stack and recommendation for optimizations
- Partnering with you to develop custom cloud-based solutions tailored to meet your specific business needs
Data integration & pipelines
- Building batch and streaming data pipelines to ensure secure, fast and reliable data flow between systems
- Developing data centralization and decentralization solutions aligned with your organization’s needs (e.g., Single Source of Truth , Data Mesh)
- Design and implementation of automated ETL/ELT solutions that enhance and scale your data processing capabilities
Data, ML & DevOps consulting & implementation
- Design, audit, and implementation of your DataOps & DevOps setup to ensure efficient delivery and scaling of your data products
- Implementation of data reliability & observability solutions to maintain and monitor the quality and integrity of your data
- Definition and implementation of CI/CD data operation practices allowing fast iterations and streamlined development
- Deployment & management of cloud & on-premise data solutions, e.g., Machine learning models, Tableau server, and more
Our Data Product Team will be happy to advise you on all questions relating to data engineering and data architectures. Get in touch with us here!
Our projects
Tools we work with
Customers who trust us.
Why FELD M?
Human-centered:
We about and develop sustainable solutions, which follow product life cycles and generate value.
Agile:
We apply agile principles to develop fast, learn from mistakes, and continuously adapt. We grow together as a team by fostering collaboration and leveraging individual strengths.
Scientific:
We use scientific methods to develop high-quality, tailored solutions. .
For Good:
We aim to give back to the community by open source code. We support by consulting nonprofits and social impact organizations on their data-related challenges.
How we build great data products
System agility
- Focus on most relevant business problems & user needs
- Learn from data usage
- Adapt, reprioritize and develop business requirements
Product agility
- Fast prototyping
- Creating MVP’s
- Iteratively improving data products
- Iteratively delivering value
Create data products based on clear business problems
Gain insights through the use of data products and derive new requirements
UNDERSTAND business problems
BUILD data products
Methods
- Interviews
- Data Thinking Workshops
- Use Case Workshops
- Product Canvas
- Wardley Map
- …
Build prototypes
Learn & Improve
Next best product
Define complexity
Choose agile method
We create data products and applications whose core value proposition is based on data. By combining product thinking methods with various disciplines such as data engineering, business intelligence and UX as well as data science, we solve clearly defined business problems and help you achieve your goals.
