Moxie Retail Data & Analytics Modernization - Databricks Edition on Azure
Genzeon
Moxie's 6-week advisory and engagement to build a domain-driven data and analytics foundation on Databricks on Azure for retail enterprises.
Moxie's 6-week advisory and engagement to build a domain-driven data and analytics foundation on Databricks on Azure for retail enterprises.
Moxie's Retail Data & Analytics Modernization on Databricks is a 6-week consulting engagement designed for retail enterprises looking to accelerate their data and analytics transformation on the Databricks platform on Microsoft Azure.
This advisory plus offering starts with a comprehensive assessment and Databricks readiness evaluation, then delivers a working data foundation with domain-specific insights aligned to your retail business objectives.
As a retail-focused consulting partner with deep expertise across Customer Engagement, Supply Chain, Store Operations, and Marketing, Moxie brings proven retail domain knowledge combined with a structured 2-phase methodology. The engagement is powered by Moxie ADIAS — a proprietary Agentic Data Intelligence Accelerator Suite that automates the full Bronze→Silver→Gold Medallion lifecycle on Databricks with governance, lineage, and compliance built in via Unity Catalog — cutting data engineering cycle times by up to 60% with native Delta Lake storage.
Engagement Approach (6 Weeks):
Phase 1 — Advisory (Weeks 1–2):
- Assess retail data capabilities and analytics maturity
- Prioritize target domains and use cases
- Recommend Databricks architecture on Azure
- Confirm Unity Catalog governance design aligned to client objectives
- Define migration KPIs, governance controls, and map data lineage from source systems
- Deliverable: Databricks readiness assessment, prioritized domain roadmap, and QuickStart scope document
Phase 2 — QuickStart Build & Validate (Weeks 3–5):
- Configure Databricks workspace on Azure and deploy Medallion Lakehouse on Delta Lake
- Ingest 1–2 representative retail data files
- Build 2–3 domain-specific Power BI dashboards (e.g., Same-Store Sales, Inventory Stockout, Customer Churn)
- Execute data reconciliation, integration testing, and stakeholder validation
Phase 2 — QuickStart UAT, Demo & Roadmap (Week 6):
- Support user acceptance testing
- Demonstrate domain insights to merchandising, operations, and financial stakeholders
- Deliver knowledge transition and governance documentation
- Provide enterprise scale-out roadmap for full modernization
Key Outcomes:
- 45% reduction in data pipeline development time with Delta Live Tables
- 3x faster ML model training and deployment cycles via MLflow
- 50% improvement in query performance with Delta Lake optimization
- 35% lower total cost of ownership with open Delta Lake format
- Domain-driven analytics foundation enabling self-service insights for business stakeholders
- Unity Catalog governance and data lineage built in from day one
Why Moxie:
- Retail-focused expertise with 150+ successful projects and 25% YoY growth serving apparel, specialty retail, and consumer goods brands across the US
- Embedded retail subject matter experts with deep knowledge in Customer Engagement, Supply Chain, Store Operations, and Marketing from architecture through go-live
- Proven ROI track record: 2x–3x ROI, 40% infrastructure cost reduction, 35% faster data availability, up to 60% reduction in manual data engineering effort
This offering includes advisory assessment, Databricks readiness evaluation, Medallion Lakehouse architecture on Delta Lake, ingestion of 1–2 representative retail data files, 2–3 domain-specific Power BI dashboards, data quality and governance via Unity Catalog, and knowledge transition. Production deployment, data engineering across all source systems, AI/ML use case builds, and infrastructure/landing zone setup are available as follow-on engagements.
