- Ingestion: Combined data from all relevant sources into a single place. Enjoy the flexibility of combining data from any source, at any velocity requirement.
- Processing: The data extracted from the source might not be immediately ready for its final purpose. The transformation of these data usually takes places before storage (ETL architecture), after storage (ELT architecture) or, more often, at both points.
- Storage: Keep your data safe and accessible, integrated into a common system and in a format ready for analysis. Most modern solutions involve a combination of a data warehouse and a data lake architecture. This ensures your system can handle any requirement while keeping costs to a minimum.
- Analysis and visualization: Extract value from your data through a combination of tailored analyses, visualization dashboards and frequent actionable reports. Make better data-driven decisions and empower your day-to-day processes through data.
- Governance: Stay in control of your data pipeline, ensure quality control and data compliance. We strive to set and maintain high standards all across how data is gathered, stored and processed.