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Data Warehouse Consulting Services
Eliminate Data Fragmentation with AI-Ready Data Warehouses Built for BI, ML, and Analytics
Our Data Warehouse Service Offerings
Unified, De-Duplicated Data Across Sources
Collect, store, and manage all your data into a single warehouse. Our data engineering team designs the ingestion architecture, builds ELT pipelines, standardizes schemas, and applies identity resolution and deduplication logic to keep every data record clean and accurate across systems.
As we integrated quality rules, metadata standards, and governance, clients get a unified source of data that reduces reconciliation time and ensures teams operate with accurate information.
Higher Data Quality and Trust
Our enterprise data warehouse solutions include the implementation of an AI-powered data quality operating model within your warehouse. The deliverables are automated checks, statistical validation, anomaly detection, schema monitoring, and end-to-end lineage.
Our consultants set clear data contracts, so expectations around timeliness and accuracy are defined and enforced. The result is a warehouse that consistently delivers compliant, decision-ready data your leadership can trust for forecasting, financial planning, and strategic initiatives.
Faster Access and Analytics Performance
We engineer your warehouse to deliver consistently fast performance at scale. Techniques include optimizing storage layouts, partitioning strategies, clustering keys, caching logic, and workload isolation.
Our data warehouse experts also refactor legacy ETL processes into automated ELT pipelines leveraging Snowflake, BigQuery, Redshift, or Synapse. Dashboards load in real time and executives gain end-to-end visibility without unpredictable cloud bills or performance bottlenecks.
Improved Model Performance for AI/LLMs
We structure your warehouse to serve as a high-quality data backbone for AI, ML, and LLM initiatives. Our data warehousing team incorporates governance, lineage, and observability to trace inputs and validate assumptions.
We also optimize feature pipelines, unify structured and unstructured data, and ensure models are not limited by missing, duplicated, or inconsistent signals. With clean, production-ready data flowing directly into your AI stack, your LLMs and predictive models deliver higher accuracy and more stable performance in production.
Services We Provide Under Data Warehouse Consulting
Data Warehouse Strategy & Architecture
We help organizations establish a practical roadmap for their data estate by reviewing current systems, understanding requirements, and designing an architecture. Our data warehouse strategy covers platform choices, integration patterns, cost modeling, and governance needs.
Cloud Data Warehouse Implementation
Our data warehouse consultants manage the full setup of a cloud data warehouse by configuring environments, onboarding datasets, and establishing ingestion frameworks. Our process produces a stable warehouse foundation that supports analytics teams without technical debt.
ETL/ELT Pipeline Engineering
Design ETL and ELT pipelines that move data efficiently across data warehouses and analytical layers. Data engineers at Radixweb refine extraction and transformation logic, implement orchestration tools (Airflow or dbt), and create pipelines that feed reporting and downstream modeling needs.
Data Warehouse Modernization
Upgrade your legacy/on-prem data warehouse platforms to adopt modern analytics and AI requirements. We evaluate performance issues, redesign staging and transformation layers, and move critical workloads toward more flexible cloud data warehouse architectures.
Data Warehouse Cloud Migration
As part of our data warehousing as a service (DWaaS), we support the transition from traditional warehouses to modern platforms like Snowflake, BigQuery, or Redshift. Our migration process includes workload assessment, schema mapping, data validation, and adapting pipelines to cloud-native services.
Data Warehouse Integration
Consolidate information from multiple enterprise data systems, SaaS apps, and operational databases into a central data lake and data warehouse. We assure data integrity by creating an integration layer that minimizes duplication and supports cross-functional reporting.
Warehouse Modeling & Schema Design
We design logical and physical warehouse schemas, including star and snowflake models, aligned with your business rules. Our modeling practice improves query performance, maintains data consistency in dimension tables, and supports scaling.
Quality, Governance & Lineage Management
As a data warehouse consulting company, we implement data quality rules, metadata standards, and data lineage tracking in the warehouse. Engineers maintain accuracy for datasets and business-critical dashboards while strengthening compliance with regulatory frameworks.
Data Warehouse Support & Optimization
Our consultants provide continuous support for data warehouse workloads to tune queries, adjust configurations, and monitor pipeline performance. Leveraging our managed services, you can keep the warehouse predictable and ready to support new reporting and analytical models.
The Technical Benchmarks We Consistently Meet
A good 25 years of building products and engineering data, and we’re still going strong.
Client Satisfaction Score in Global Enterprise Projects
Rating for Engineering Skills and Delivery Quality
Repeat Engagements from Client Teams
Higher Project Success Rate vs. Industry Average
In Partnership with Leading Brands
Enterprise Data Warehouse Solutions for AI/ML Workloads
Feature Store Quality
Our cloud data warehouse consulting services improve feature store quality by structuring secure source tables, enforcing data validation, and designing ELT pipelines. ML teams get well-governed features sourced from a cloud data warehouse that supports accurate modeling and experimentation.
Vector-Ready Data
Training Data Pipelines
Real-Time Data Feeds for Inference
Access a three-to-five-member engineering pod with weekly delivery cycles and monthly throughput reporting. Customization is available.
Data Warehouse Consulting Services for Core Workflows
Customer 360
We merge scattered customer data into one cloud data warehouse with consistent profiles and identifiers that support accurate model workflows, analytics, targeting, and service decisions.
Supply Chain Visibility
Integrate your logistics and inventory systems into a unified data warehouse layer. Consult with us to improve tracking, forecasting, and operational clarity across your supply chain.
Financial Reporting
Our data engineers build governed warehouse models and validated pipelines that deliver accurate, audit-friendly financial data for dashboards, closes, and compliance reviews.
Real-Time Operational Dashboards
As we integrate streaming ingestion with curated warehouse layers, enterprise leaders get access to real-time operational metrics with data freshness and predictable behavior.
Healthcare Compliance and Audit Trails
At Radixweb, we design cloud data warehouse structures with governed datasets, lineage tracking, and controlled access that support HIPAA, GDPR, and clinical compliance needs.
E-commerce Product Analytics
We support E-commerce data warehouse projects that give teams consistent insight into product performance, user behavior, and revenue drivers in all digital touchpoints.
Data Projects We’re Working on
Work In Progress
Predictive Inventory Warehouse for Multiregion Operations
We’re building a predictive inventory warehouse to collect and store regional sales, logistics, and demand signals.
- Using Snowflake and dbt to structure demand signals
- Combining POS, shipment, and supplier data into one model
- Deploying automated alerts for low-stock risk zones
- Supporting predictive algorithms with feature inputs
Work In Progress
Designing a Data Platform for Customer Behavior Intelligence
The project is about developing a warehouse-backed platform that brings together product usage, support conversations, and subscription data.
- Merging product telemetry with CRM history
- Creating behavior-centric analytical models
- Standardizing ELT transformations for consistency
- Supporting downstream churn and retention analysis
Work In Progress
Modernizing ELT Pipelines for Automated Data Operations
Our data engineers are upgrading fragmented, legacy ETL jobs into a coordinated ELT framework for cleaner warehouse layers.
- Replatforming legacy scripts into dbt-based ELT models
- Airflow orchestration for predictable pipeline scheduling
- Standardizing transformation logic across dimension tables
- Improving refresh frequency and reducing pipeline failures
Industries We Support with Our Data Warehousing as a Service
How We Deliver Data Warehouse Projects
Our consulting framework organizes requirements, development, and validation into a logical sequence. It delivers a reliable data warehouse environment supported by disciplined execution.
Why Our Data Warehouse Consultants Fit Enterprise Needs
Radixweb’s data warehouse consulting services involve designing, building, and optimizing data warehouses to support analytics, reporting, and secure data storage. We fit right where your data moves, connects, and becomes 100% useful.
- Between raw data systems and BI
- Within the enterprise data stack
- Supporting AI/ML foundations
- Partnering with internal data teams
Our Data Warehousing Tech Stack
- Data Warehouses
- Data Lakes
- ETL/ELT Tools
- Data Ingestion
- Data Modeling
- Data Observability
- Data Governance
- Data Cataloging
- Orchestration
- ML & AI
Recognized by the Best in the Industry
Frequently Asked Questions
How do data warehouse consulting services help businesses modernize their data infrastructure?
How can businesses choose the right platform for data warehousing?
How much does it cost to implement or modernize a data warehouse?
How do data warehouse services support business intelligence and analytics initiatives?
How do consultants help organizations migrate legacy data warehouses to the cloud?
One team to support every critical area of your data ecosystem, from ingestion to analytics.