Data warehouse consulting services: what we do to unleash the power of your data

Since 2009, we’ve been helping enterprises navigate their unique data warehouse (DWH) journeys—from traditional BI and reporting to enabling modern AI-powered analytics and intelligent workflows. Whatever your data warehousing consulting needs are, we won’t leave them unmet.
Data warehouse design

Our data warehouse consultants will dive deep to get a full grasp of your data and craft a bespoke data warehousing strategy. From requirements engineering to tool selection, data modeling, ETL process setup, and scalability planning, we’ll ensure that your data warehouse architecture is prepared to support both classic data analytics and emerging AI initiatives—from LLM integration to agentic AI.

Data warehouse implementation

Leveraging best practices, we build custom DWH platforms for enterprises end to end to fulfill their data needs. We help with data inventory, integration, automation of data pipelines, data quality management, testing, deployment, and optimization. Even the toughest DWH projects are made possible with our data warehousing consultants on board.

Data warehouse modernization

Whether it’s through adopting cutting-edge data storage solutions, implementing new data management practices, or enhancing your data processing capabilities, we guide you through every step. Our consultants will evaluate your current setup and recommend upgrades to ensure your DWH meets today’s challenges head-on and is ready for the future. Our modernization services also future-proof your warehouse to support AI workloads, vector-enabled queries, and streaming analytics when needed.

Data warehouse cloud migration

Our data warehouse consultants will navigate you through the complexities of cloud migration, from planning and selecting the right platform (e.g., AWS, Azure, or Google Cloud) to execution and post-launch support. ITRex helps you choose cloud-native architectures that balance cost and performance—while also supporting advanced use cases like real-time dashboards and AI inference.

Data warehouse support

Our data warehouse consulting services ensure that your DWH remains a robust and reliable source of truth for your analytics and reporting needs. We help reduce data latency, solve performance issues, and minimize storage costs. Need a continuous optimization program? We will craft it for your data team. This includes ensuring low-latency performance for modern workloads and preparing the warehouse to feed data to downstream analytics or AI systems.

Our data warehouse consulting services will position your company for growth

As part of our data warehouse consulting services, we provide targeted solutions designed to make your unique data work for your unique needs. We empower your data warehouse through:

Modern data architecture

We ideate future-proof data architectures tailored to your data flows, business goals, and analytics needs using industry best practices

Data mapping & integration

We provide data integration services to deliver precise connectivity across your systems, no matter the complexity of your data assets

Data cleansing

Leveraging our data engineering expertise further, we tidy up, correct, and standardize your data employing advanced techniques

Data management

We implement robust data management strategies to store, retrieve, and manage your data efficiently

Data governance

We help you ensure data compliance, privacy, security, and effective usage through comprehensive data governance frameworks

Analytics, BI & AI integration

We integrate your DWH with leading BI tools and AI systems, enabling both human and machine decision-making at scale.

We bring added value with data lake & data lakehouse solutions

Thinking about leveraging big data technology? Our experienced consultants are ideally positioned to be your strategic partner in driving innovation. We build enterprise-grade data lakes and lakehouses on Databricks that support LLMs, RAG architectures, and AI model training for deeper analytics.
Data lake consulting Data lakehouse consulting Consolidate your ever-growing volumes of data into a data lake that can feed data sets into your data warehouse or support stream analytics and ML projects. Use your data lake as a data warehouse by bringing computing to your raw data storage. We enable your data team to run exploratory analyses and adopt AI faster.

What you get with ITRex data warehouse consulting services

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Single source of truth

Aggregate data from multiple sources into a centralized repository so that everyone can make business decisions on the same data

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Best data quality

Rely on complete, consistent, integral, accurate, and timely data enabled by best practices in data management

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Powerful reporting

Get 360-degree visibility into trends, aggregations, and other relationships in your data to measure business performance and track KPIs

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Valuable insights

Extract hidden patterns and actionable intelligence to support business decisions and power AI systems with high-quality, trusted data

What makes ITRex data warehouse consultants different

Multidisciplinary team. ITRex data warehousing consultants bring deep expertise in project management, DWH modeling, data management, data governance, and BI consulting to the table
Data analytics acumen. We’ve built a variety of groundbreaking data solutions for big names, facilitating their leap into BI, advanced data analytics, and data science.
Future-ready architecture. Our consultants ensure that your DWH can support not only BI but also advanced AI use cases like real-time inference, RAG, and copilots.
R&D Lab. Our R&D labs work as incubators to create, research, prototype, and validate data ideas. This way, we make sure you get an impactful data solution
Certification. Our data warehouse consulting services are delivered with top quality, backed by our ISO 9001 and ISO 27001 certifications.
Agile delivery. Our agile data warehousing approach allows stakeholders to see measurable results early to confirm or adjust their vision

ITRex At A Glance

2009
year of company foundation
300+
top-tier experts
200+
clients around the globe
3+
years' client engagement
600+
software products delivered
90%
hold BS, MS or PhD in Math/Computer Science

FAQ

1. Why is data warehouse consulting important for businesses?

Companies use data warehouse consulting to transform fragmented, inconsistent data into a reliable foundation for decision-making. With expert advice, you can streamline your architecture, improve data quality, and implement a DWH that grows with your company. It’s more than just reporting; it’s about laying the groundwork for better, faster decisions and long-term growth.

2. How do I know if my business needs data warehouse consulting services?

If you’re dealing with unreliable reports, manual data workarounds, or scattered systems that don’t talk to each other, it may be time. Our data warehouse consultants will help assess your current setup, uncover inefficiencies, and propose a roadmap for improving performance, scalability, and readiness for AI and advanced analytics.

3. What does a data warehouse consultant do?

A data warehouse consultant assesses your current data landscape, identifies pain points, and recommends solutions that are tailored to your business objectives. This encompasses everything from architecture design and tool selection to data modeling, pipeline optimization, and performance tuning. At ITRex, we combine technical expertise with real-world experience to ensure that your DWH works today and evolves for tomorrow.

4. How do data warehouse consultants help with data governance and quality?

We create and implement governance frameworks to promote trustworthy, consistent, and compliant data throughout the organization. This includes establishing data ownership policies, improving data lineage, standardizing KPIs, and implementing controls to ensure accuracy and accessibility, which are critical for both business users and AI systems.

5. Can a consultant help integrate my legacy systems with a modern data warehouse?

Yes. Legacy systems frequently contain valuable business data but have poor interoperability with modern technologies. Our team specializes in connecting these systems to cloud or hybrid warehouses through ETL/ELT pipelines, API connectors, or custom integrations, ensuring continuity while preserving historical insights.

6. How do data warehouse consultants handle data integration from multiple sources?

We begin by mapping your data sources, which may include ERP, CRM, IoT, and third-party platforms. Next, we create robust ingestion and transformation workflows to integrate that data into a unified warehouse, eliminating silos and allowing for consistent reporting, analytics, and AI use cases.

7. What are the benefits of migrating my data warehouse to the cloud?

Cloud-based DWHs provide greater scalability, flexibility, and cost efficiency than on-premise solutions. Migration opens the door to faster data processing, real-time insights, and smoother integration with modern analytics and AI platforms—without the maintenance burden of physical infrastructure.

8. What are the costs involved in hiring a data warehouse consultant?

Costs vary depending on the project’s scope, data complexity, and goals. A minor optimization could take a few weeks, whereas a full-scale migration or redesign will necessitate more time and resources. We typically start with a discovery phase to assess your requirements and provide a transparent, tailored estimate based on business impact.

9. What are the key components of a data warehousing solution?

The key components of a data warehousing solution include:

  • Data Sources: Various sources of operational data, including databases, CRM systems, ERP systems, social media platforms, IoT devices, and external data sets such as market research reports and industry benchmarks
  • Data Extraction, Transformation, and Loading (ETL) tools: Software that extracts data from source systems, transforms it into a consistent format, and loads it into the data warehouse
  • Database (or Relational Layer on top of a Data Lake): A central repository where transformed data is stored, organized, and managed as relational data
  • Data marts: Subsets of the data warehouse tailored to specific business lines or functions
    Analytics & reporting tools: Applications that access the data warehouse for reporting, analysis, and BI
  • Data governance and quality management: Processes and policies to ensure data accuracy, consistency, and security.

Our data warehouse consulting services emphasize the significance of each component in developing a solid data warehouse strategy. To learn more, read our article on enterprise data warehouse architecture.

10. What is the difference between a data lake, a data warehouse, and a data lakehouse?

A data lake stores vast amounts of raw, unstructured data in its native format.

A data warehouse, on the other hand, holds structured data that has been processed and structured for specific purposes.

A data lakehouse combines the two, offering a way to manage both raw and processed data, supporting diverse analytics and ML in a single, scalable architecture, and allowing businesses to leverage broad data capabilities, from real-time analytics to deep learning, within one platform.

Learn more about the difference in our comprehensive article, “Cutting Through The Confusion: Data Warehouse vs. Data Lake vs. Data Lakehouse.”

11. What is the typical process for implementing a data warehouse?

Integrated Planning & Discovery: This phase of data warehouse consulting services establishes a solid groundwork for the project’s success. This is achieved by ensuring the alignment of stakeholder expectations and goals with an in-depth examination of the organization’s current tech landscape. Key activities done by data warehouse consultants include identifying business needs, cataloging data sources and connectors, evaluating existing reports and machine learning models, projecting budgetary needs and team structure, assessing the quality of data, and analyzing metrics. This phase culminates in conceptualizing a data warehouse strategy and ETL framework to propose solutions with different tech stacks and develop a prototype.

Development & Testing: Based on the chosen tech stack and defined needs, this phase focuses on constructing a resilient data warehouse. Key tasks involve setting up the database structures and schemas, integrating various data sources, creating ETL processes, conducting data profiling, importing past data records, enforcing data integrity measures, fine-tuning automation processes, and conducting rigorous testing to ensure reliability and performance.

Ongoing Support: This phase involves establishing a dedicated team to provide support services for the data warehouse, encompassing the resolution of issues in compliance with SLA conditions, minimizing expenses related to storage and processing, executing minor improvements, overseeing system operations, and troubleshooting.

12. How do you ensure the security and privacy of data within a warehouse?

To ensure data security and privacy within a warehouse, our data warehouse consulting services include implementing several measures:

  • Strict access controls to limit data access to authorized personnel
  • Data encryption, both at rest and in transit, to protect against unauthorized access
  • Regular security audits to identify and mitigate vulnerabilities
  • Adherence to data protection regulations and standards
  • Employment of monitoring tools to detect and respond to security threats in real time, ensuring your data remains secure and private

13. How long does it take to implement a data warehouse solution?

The time to implement a data warehouse solution varies significantly based on the complexity of the data, the technology chosen, the scale of the project, and the specific requirements of the business. Typically, a basic implementation can take a few months, while more complex projects might take a year or more.

Leveraging deep expertise, our data warehouse consulting team ensures rapid project delivery. We streamline every phase, from planning to testing, to exceed expectations efficiently.

14. What are the ongoing maintenance and support services you provide post-implementation?

Our data warehouse consulting team provides extensive post-implementation maintenance and support, including system monitoring, troubleshooting, updates, user support and training, data quality checks, and adjustments based on feedback and analytics. This ensures your data warehouse remains efficient, secure, and responsive to your business needs.