ERP & CRM Data Integration
ERP giants like NetSuite, Dynamics 365, SAP, and Odoo want your entire business to live within their ecosystem—because the deeper you go, the more they bill. The problem? They’re not great at everything.
Yes, they’re solid at transaction capture, reporting, and maybe even basic inventory control—but when it comes to areas like marketing, CRM, or advanced forecasting, they fall short. That’s where tools like HubSpot, Salesforce and decision intelligence models come in. But integrating ERP and CRM data to get a unified view of the business? That’s where things start to break down:
- Business keys don’t match
- Data extracts are painfully slow (and expensive)
- Historical data like lead journeys get lost
- Excel-based analysis becomes a bottleneck
What you need is enterprise-grade data integration at scale—a solution that captures every operational detail into a unified data lakehouse.
That’s where we come in.
Millersoft specializes in building massive, multi-dimensional models using modern techniques like the Unified Star Schema. We unify ERP, CRM, and other operational data so your pivot tables fly, your dashboards shine, and your AI models finally see the big picture.
Millersoft Data Integration Services
- Seamless integration between ERP systems (SAP, NetSuite, Dynamics, Odoo) and CRMs (Salesforce, HubSpot, etc.)
- Resolving business key mismatches
- Historical data capture and change tracking
- Design and implementation of scalable lakehouse platforms (e.g., on AWS, Azure, GCP)
- Unified storage for structured and semi-structured data
- Support for real-time and batch ingestion
- Data Lakehouse tables built using open standards like Apache Iceberg
- Custom and open-source pipelines using tools like Apache Hop, dbt, Airbyte, Altreyx, Apache Spark
- Optimized for high-volume, low-latency ingestion
- Data quality and validation checkpoints
- Real-time capture of logs, metrics, and system state from infrastructure and applications
- Integration with observability platforms (Grafana, Prometheus, Loki)
- Data unification across cloud platforms (AWS, Azure, GCP)
- Hybrid integration (on-prem to cloud)
- Vendor-neutral architecture to avoid lock-in
- Creation of scalable, AI/BI-friendly dimensional models
- Optimized for pivoting, aggregation, and predictive analytics
- Supports unified analytics across operational domains
- Integration with REST/SOAP APIs and event hubs (Kafka, Pub/Sub, RabbitMQ)
- Real-time data movement and syncing
- Microservices-aware data orchestration
- Metadata management and data cataloging
- Lineage tracking and compliance monitoring
- Role-based access and audit trails
- Prepping data for Power BI, Tableau, Looker, or custom dashboards and Sheetloom
- Integration with AI/ML platforms for intelligent analytics
- Tuning of ETL/ELT processes for scale and efficiency
- Cost-conscious architecture design to minimize cloud spend