Designing the data backbone for actuarial and analytical integrity
In actuarial and analytical work, data quality determines the credibility of every model and decision. Arocha & Associates GmbH builds and reviews data infrastructures that ensure traceability, reproducibility, and compliance with professional standards.
Our methodology follows the principles of the Actuarial Standard of Practice No. 23 (ASOP 23) — Data Quality, emphasizing accuracy, relevance, and appropriate use of data across actuarial, risk, and financial domains.
Our Support Includes
Data Architecture Design
We design data ecosystems that link multiple systems, departments, and jurisdictions — combining flexibility with clear ownership and documentation.
Pipeline Automation
We develop efficient ETL and orchestration pipelines that move data securely from source to analysis, supporting actuarial modeling and regulatory reporting.
Quality & Validation Controls
We apply ASOP 23 principles to define validation checks, error monitoring, and reconciliation processes that ensure data accuracy and integrity throughout its lifecycle.
Integration and Process
Our approach integrates data engineering with actuarial modeling and financial reporting needs. We align infrastructure decisions with governance standards and control frameworks that regulators and auditors expect.
- Mapping of data flows from origination to consumption
- Version control and reproducible documentation standards
- Automated monitoring of data lineage and quality metrics
Why Choose A&A
- Actuarial grounding in data standards including ASOP 23 — Data Quality
- Independent design and peer review of data architecture and documentation
- Commitment to transparency and auditability across all analytical environments
Typical Engagement Outcomes
- Reliable data pipelines built for actuarial and financial use
- Documented and traceable data lineage for regulatory assurance
- Reduced manual handling and improved operational efficiency
- Higher confidence in model inputs and business decisions
Ready to Talk?
Good data is not an accident — it’s engineered. A&A can help your organization build reliable, scalable data systems grounded in actuarial standards of quality, ensuring every model starts with trustworthy information.