atotal

Atotal is a software platform designed to aggregate and reconcile totals across distributed data sources. It enables organizations to compute end-to-end totals that span multiple systems, currencies, and units, providing a single source of truth for financial and operational reporting.

Key features

- Data ingestion from ERP, CRM, e-commerce, and IoT sources

- Real-time streaming and batch processing for totals

- Multi-currency and unit conversion with audit trails

- Reconciliation, validation, and error handling to detect anomalies

- Role-based access control and observability for governance

- REST and event-driven APIs for integration with other tools

Architecture and deployment

Atotal uses a modular, microservices-based architecture with a central aggregator service, streaming components and a message broker. Data is stored in a layered approach that includes a data lake for raw data and a data warehouse for totals and aggregates. The platform supports deployment on premises or in the cloud and can connect to both structured and semi-structured data sources, enabling flexible integration patterns and scalable performance.

Usage and applications

Users include retailers, manufacturers, and logistics providers who rely on accurate totals for invoicing, inventory management, and KPI dashboards. The platform emphasizes data governance, lineage, and compliance, and it integrates with common business intelligence tools to support reporting and analytics needs.

History and reception

Since its introduction, Atotal has been recognized for its emphasis on auditability and cross-system reconciliation. Some users note a learning curve and configuration complexity in large deployments, but reviews often highlight reliability in aggregating multi-source totals.

See also

Data aggregation, Data integration, Business intelligence, ETL, Currency conversion.