Data architectures and automated pipelines that make data consistent, secure, and usable. From ingestion to provisioning, solutions enable reliable data-driven decision-making.
Companies have numerous data sources, but data is often distributed, opaque, and without clear responsibilities. Lack of data quality, insufficient governance, and high operating costs prevent data from being actively used. Modern data platforms and pipelines solve these problems by centralizing data, guaranteeing quality, and controlling costs.
Data source analysis: Identification and evaluation of relevant source systems.
Architecture design: Design of a targeted data architecture (lakehouse, warehouse, or hybrid solution).
Pipeline implementation: Automated data ingestion, transformation, and validation.
Governance and ownership: Definition of roles and responsibilities for data (data owners, stewards).
Operation and optimization: Implementation of monitoring, alerting, and cost control.
We work iteratively to deliver value early and establish DataOps principles for continuous improvement.
We take responsibility for technical design, implementation of data platform and pipelines, and automated quality assurance. The client defines domain use of data and decides on business logic and reporting.
Unified, scalable data infrastructure with clear access and security mechanisms.
Automated, robust data pipelines with high data quality.
Cost-efficient use through elastic resources and FinOps.
Transparent governance and clear responsibilities for data.
Use your data strategically. We design your data platform and pipelines so you can access reliable data at any time. Contact us to unlock the value of your data.