Dedalus Omnichannel Retail Data Modernization on AWS

Retail organizations generate large volumes of data across ERP, POS, e-commerce, and customer engagement platforms, yet many still operate with fragmented legacy environments that limit visibility, scalability, and business agility. Dedalus provides an end-to-end Data Modernization engagement that transforms legacy systems into a scalable, cloud-native data platform on AWS, enabling real-time analytics, stronger governance, and faster business decision-making.

The solution centralizes data from multiple sources into a modern AWS Data Lake architecture built on Amazon S3, AWS Glue, AWS Lake Formation, and Amazon Athena. Data is organized into structured medallion layers (raw, curated, and consumption) that improve quality, security, and analytical performance while reducing query and storage costs. Governance policies implemented through AWS Lake Formation provide centralized access control, auditability, and data lineage visibility.

Security controls include:

• Encryption at rest using S3 SSE-KMS and encryption in transit via TLS
• Network isolation through VPC configuration and private endpoints
• IAM policies enforcing least-privilege access principles
• LGPD compliance alignment with centralized audit trails

• Unified Retail Data Platform: Centralizes data from ERP, POS, e-commerce, and customer engagement systems, eliminating silos and delivering a single source of truth across all retail channels.
• Real-Time Omnichannel Visibility: Delivers real-time insights into sales, inventory, and customer behavior across physical and digital channels, enabling improved forecasting, inventory optimization, and personalized customer experiences.
• Auto-Scaling for Peak Demand: Architecture scales automatically during high-volume events like Black Friday, handling significant transaction volume increases without manual intervention or performance degradation.

The engagement follows a structured phased approach:

1. Assessment & Discovery (Weeks 1-2): Technical audit of existing data landscape, source system mapping, and requirements gathering.
2. Architecture Design (Weeks 3-4): Target-state architecture definition, data model design, and governance framework planning.
3. Migration Planning (Weeks 5-6): Detailed migration runbook, pipeline design, and testing strategy.
4. Implementation (Weeks 7-14): Automated ingestion pipelines, transformation logic, governance policies, and monitoring setup.
5. Testing & Validation (Weeks 15-16): End-to-end data quality validation, performance testing, and user acceptance.
6. Production Deployment (Weeks 17-18): Go-live, operational handoff, and knowledge transfer.

Total estimated engagement duration: 14-18 weeks depending on scope complexity and number of source systems.

Customers receive a fully operational data platform, governance framework documentation, monitoring dashboards, architecture runbooks, operational handoff documentation, and cost optimization recommendations.

To maximize long-term value, the solution can be complemented by 24/7 Managed Services providing continuous monitoring, operational support, governance oversight, and ongoing optimization.

Contact Dedalus to schedule a free Data Modernization Assessment and begin your discovery engagement. The assessment phase provides a detailed roadmap, architecture recommendation, and investment estimate tailored to your retail environment.