Data Warehouse Consulting
Unlock the Power of Your Data with Expert Enterprise Data Warehouse Consulting
In today’s data-driven world, organizations need a robust, scalable, and secure data warehouse to turn raw data into actionable insights. At On Point BI, we specialize in enterprise data warehouse consulting — combining decades of experience with Microsoft SQL Server on-premises and cutting-edge Azure cloud technologies to build data platforms that power smarter decisions.
Why Invest in Enterprise Data Warehousing?
Enterprise data warehouses (EDWs) serve as the centralized backbone for consolidating diverse business data — from transactional systems, CRM, ERP, and beyond — into a unified, clean, and query-optimized store. This foundation enables:
- Reliable, timely reporting and analytics
- Cross-departmental data consistency
- Data governance and compliance adherence
- Support for advanced analytics and AI initiatives
Whether your data warehouse is on-premises, in the cloud, or a hybrid of both, a well-architected EDW is essential for scaling your analytics capabilities with confidence.
Our Data Warehouse Consulting Services
On Point BI provides end-to-end consulting services tailored for enterprise data warehouse projects leveraging:
On-Premises Microsoft SQL Server
- Modernizing legacy SQL Server warehouses
- Performance tuning and indexing strategies
- Data modeling and ETL/ELT pipeline optimization
- Disaster recovery and high availability design
- Security hardening and compliance audits
Azure Cloud Data Warehousing
- Azure Synapse Analytics architecture and implementation
- Cloud migration planning and execution
- Data lake integration and lakehouse design
- Serverless and provisioned pool optimization
- Power BI integration for self-service analytics
Hybrid Architectures
- Seamless integration between on-premises and Azure environments
- Data replication, caching, and federation strategies
- Governance and master data management across platforms
Why Choose OnPoint BI?
Our consulting approach is collaborative, business-focused, and outcome-driven:
- Proven Expertise: Over a decade helping healthcare, biotech, insurance, and commercial enterprises.
- Customized Solutions: Tailored architecture that fits your industry requirements and growth plans.
- End-to-End Support: From assessment and roadmap development through implementation and ongoing optimization.
- Security & Compliance: Deep knowledge of HIPAA, SOC2, and other regulatory frameworks.
Ready to Modernize Your Data Warehouse?
Whether you’re looking to optimize your existing Microsoft SQL Server warehouse or expand into Azure’s powerful cloud ecosystem, On Point BI is your trusted partner.
Data Warehouse Consulting Pricing
Scalable Solutions. Proven Outcomes. Transparent Pricing.
Plan | Description | Ideal For | Price |
---|---|---|---|
Starter | Foundational data warehouse strategy & assessment | Small teams, POCs | $11,500 + |
Professional | Full-stack cloud warehouse implementation | Mid-size companies or growing data teams | $45,000 + |
Enterprise | End-to-end design, implementation, migration & governance | Large enterprises, healthcare, biotech | $75,000 – $200,000+ |
📦 What’s Included
🔹 Starter Package
- Data warehouse architecture assessment
- Business use case mapping
- Tooling recommendations (Synapse, Snowflake, BigQuery, etc.)
- Light POC or demo schema design
- 8–12 consulting hours
🔹 Professional Package
- Full ELT pipeline setup (Azure Data Factory, Fabric, dbt, etc.)
- Schema & dimensional model design
- Role-based access control setup
- Power BI or Tableau integration
- Dev/test/prod environment configuration
- Up to 40 consulting hours
🔹 Enterprise Package
- Legacy DW migration (on-prem to cloud)
- Lakehouse architecture setup (Medallion Model)
- Advanced performance tuning & governance
- Master Data Management (MDM) advisory
- CI/CD pipelines and Infrastructure as Code
- Multi-system integrations (EHR, ERP, CRM)
- Dedicated technical lead + project manager
- 3–6 months of support available
🧾 Add-Ons (Custom Quote)
- Data governance & catalog (Purview, Collibra)
- HIPAA or SOC2 audit prep
- Managed support & SLAs
- AI/ML readiness layer