Data Warehouse Consulting Services

Let your data give 100%. Or more. 

Get business insights with accessible, integrated, and consistent data. 

Want to know how to turn raw unstructured data into clear and actionable insights?

You can do that — and much more — with a smart and effective data warehousing strategy. Our data experts will support you in building a fast, secure, and scalable data warehouse solution that integrates your data sources into an automated environment for generating insights.

Explore the potential of a modern data infrastructure.

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Challenges we solve

Integrate
fragmented data

Unify data from your CRM, ERP, social media, and other sources and store it in a single consistent repository.

Ensure data accessibility

Enable quick and secure role-based access to data across all departments in your organization to prevent data leakage.

Improve decision-making

Base your business decisions on reliable real-time data that allows you to derive valuable insights.

Accelerate data processing and reporting

Rely on centralized and standardized data that enables accurate reports and reveals business opportunities.

Automate business processes

Streamline data extraction and transfer with intelligent automation, speeding up workflows and reducing the number of errors.

Our data warehouse consulting services

Data warehouse design

We blueprint the entire infrastructure of your data repository, consolidating data from all sources and supporting effective business intelligence, reporting, and analytics.

  • Define the data model
  • Design the data flow architecture
  • Establish a data governance framework
Data source integration 

Our data warehouse consultants help you connect and unify data from disparate systems and applications into an aggregated centralized repository using effective ETL pipelines.

  • Extract data from different sources
  • Transform data into an analytics-ready format
  • Load data into the warehouse
Data warehouse implementation 

We take over the end-to-end process of building and deploying a complete data warehouse solution, from initial design to functioning environment.

  • Set up infrastructure
  • Configure ETL pipelines
  • Implement data models and analytical tools
Data warehouse migration 

If you want improved performance for your data warehouse, our data consultants will help you find the optimal platform, database technology, or architecture and guide you through the migration process.

  • Conduct initial infrastructure assessment
  • Map and transform data
  • Verify data migration results
Data warehouse optimization 

To help you reduce latency, accelerate insight generation, and control infrastructure costs, our data warehousing consultants advise you on improving the performance and efficiency of your data warehouse.

  • Tune queries
  • Refine data models
  • Compress and index data

Turn a flood of data into an organized stream of insights with a smart data warehouse strategy 

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Our approach to data warehouse consulting 

Within our cloud data warehouse consulting services, we focus on maximizing the performance of data infrastructures and the consistency and integrity of data throughout its entire lifecycle.

 

Five pillars of our data warehousing design:

Self-service analytics and data mining

Seamless integration of heterogeneous data sources

Scalability and minimal latency

Data history preservation

Auditability and data profiling

We partner with global leaders in data technology 

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Why businesses rely on Intellias for their data warehousing needs

As a professional data warehouse consulting company, Intellias offers broad expertise and a proven track record in the data field.

Strong domain expertise


With 100+ successful data projects in our portfolio, we know how to make data work for enterprises in various industries. Our data warehousing solutions are tailored to the requirements of your business and reflect the specifics of your domain.

Certified cloud excellence


In partnership with global leaders in cloud computing — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform — we deliver fast, secure, and scalable data systems that grow together with your business. With a focus on your business requirements, we build future-ready solutions that keep pace with the latest trends.

Intelligent automation


We focus on designing solutions that reduce time, effort, and costs by leveraging modern data technologies that automate data flows. Our data warehousing architecture uses technology innovations to automatically ingest disparate data and transform it into insights.

Effective governance


Our data warehousing solutions are based on the concepts of data privacy and security to ensure protection against current and anticipated cyber threats. Practicing an all-encompassing data governance approach, we build systems that assure regulatory compliance, risk minimization, and ultimate data integrity.

Data warehousing services across industries  

With the majority of industries increasingly dependent on data in their decision-making, effective data warehouse solutions find multiple applications for businesses in various fields. Combining data expertise with extensive domain knowledge, our data warehousing consulting experts help you build competitive systems tailored to industry standards.

Retail and eCommerce 
  • Customer behavior analytics: Structured data provided by our data warehouse solutions lets you track purchase histories and browsing patterns to generate personalized recommendations.
  • Inventory optimization: Data-powered analytics of sales trends and demand forecasts allows companies to optimize stock levels.
  • Sales performance tracking: Data gathered from multiple branches and commerce channels and processed in a unified repository helps to identify high-performing products.
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Healthcare 
  • Patient care record maintenance: A data warehouse can become a central repository for patient records, test results, and clinical documentation.
  • Operational efficiency improvements: Data on the use of healthcare resources provides opportunities to optimize and reduce costs.
  • Regulatory compliance: A centralized healthcare database enables regulatory compliance, facilitates audits, and streamlines reporting.
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Financial services and insurance 
  • Fraud detection and risk management: Accumulated data allows financial institutions to identify suspicious behavior and prevent fraud.
  • Tailored recommendations: By integrating customer data from various sources and financial products, businesses can generate personalized investment and insurance offerings.
  • Regulatory compliance: Data warehousing enables automated reporting, ensuring compliance with applicable laws and regulations.
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Automotive 
  • Predictive diagnostics: Telemetry and sensor data aggregated in a data warehouse provides insights into vehicle performance and enables predictive maintenance.
  • Intelligent navigation: Data warehouses integrate data on traffic, weather conditions, and vehicle status to empower routing algorithms and improve route planning.
  • Enhanced driver experience: Connected vehicle data obtained from sensors and other IoT devices allows manufacturers to identify opportunities for design improvement.
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Transportation and logistics 
  • Route optimization: Using historical data, logistics companies can improve delivery route planning.
  • Fleet management: Vehicle or aircraft data allows logistics companies and airlines to plan deliveries and maintenance, optimize fuel consumption, and monitor driver performance.
  • Delivery tracking: Data-powered flows provide businesses with real-time status updates, allowing them to minimize delays.
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iGaming 
  • Player segmentation: Structured data obtained from processing incoming player information becomes the basis for creating finely personalized gaming experiences.
  • Fraud prevention: By analyzing massive amounts of gaming data, gaming operators can detect anomalies in player behavior that may indicate fraud or abuse.
  • Marketing campaign performance tracking: Data-driven insights allow gaming companies to monitor conversion rates and use of engagement techniques to optimize campaigns.
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Telecom and media 
  • Digital twins: A scalable data warehouse supports the creation of a virtual copy of their telecommunications network for planning, simulation, or analytics.
  • Network performance monitoring: Telecommunication providers use data received from IoT devices across the network to plan maintenance and prevent failures.
  • Content consumption analytics: Data helps telecom providers track user engagement with content offered across the network.
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Travel and hospitality 
  • Dynamic pricing: Based on historical data and demand predictions, hotels can adjust their pricing in real time.
  • Smart hotel operations: Via a central data repository, hotels can automate multiple processes by leveraging IoT technology.
  • Customer loyalty monitoring: By analyzing customer behavior data obtained from multiple sources, hospitality businesses can gauge loyalty and take proactive steps to improve engagement.
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Agriculture 
  • Crop yield monitoring: Using historical data, weather patterns, and real-time soil metrics, agricultural companies can estimate their harvest.
  • Smart farming: With multiple sensors and IoT devices, farmers can automate processes based on real-time weather and soil conditions.
  • Supply chain optimization: Analyzing logistics data allows agricultural companies to monitor product flows and reduce waste.
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High-Tech sectors 
  • Intelligent automation: With data at the core, industrial process automation accelerates workflows, reduces manual work, and improves productivity.
  • Predictive maintenance: By monitoring sensor data from equipment and machinery, manufacturers can proactively schedule maintenance, reducing the probability of failure.
  • Sustainability: Aggregated energy consumption data provides manufacturers with optimization opportunities that reduce the enterprise’s environmental footprint.
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Give your organization a single source of truth with our data warehouse development services

Brands around the world trust us

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Success stories

Data management solution for a loan management business

For a provider of debt management services, Intellias designed and implemented a comprehensive analytical platform that leverages the capabilities of Microsoft Azure SQL Database as an enterprise-scale data warehouse. The platform enables advanced business intelligence that provides actionable insights and improves decision-making.

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Success stories

Big data analytics platform
for a telecom company

To help a national telecommunications provider migrate its data processing infrastructure to the cloud, we developed a step-by-step roadmap for implementing a cloud-based data management platform. Using features of Microsoft Azure, our data warehouse consultants designed a high-performance infrastructure capable of processing terabytes of data from various sources.

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Success stories

Data warehouse migration for a B2B retailer

For a retailer in specialized medical and beauty products with a broad network of branches, Intellias data experts delivered a cloud data management solution that allows the business to ingest and structure data coming from different sources. Consolidated data storage improves the quality of business intelligence and increases operational efficiency of the retail business.

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Our clients say 

Charles Webb
Technology Transformation Leader, DD Group
Raymond Gumberger
Inside Sales Manager, SEP AG 

Our experts

Eugene Berko image

Eugene Berko

Director of Technology Practices

Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.

Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.

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Anton Lytvynenko

Lead Data Architect

Anton’s career spans 15+ years as a software engineer on multiple development projects. His interest in data and its power to drive advanced business solutions took shape when Anton was involved in building analytical platforms and planning complex integrations to resolve key business problems. He brought his strong data experience to Intellias, where he has led multiple data-focused projects.

In his position as Lead Data Architect, Anton provides strategic data guidance to various development teams through Intellias’s internal consultancy initiatives, driven by the Center of Excellence. He also actively contributes to the Technology Office, playing a key role in cloud provider assessments.

Anton approaches each project with a client-first mindset. He regards clients’ projects as his own, always focusing on user success.
Anton holds a specialist’s degree in Computer Science from Donetsk National Technical University.

How can we help you?

We don’t just build data lakehouse solutions. We help you organize your data, understand it, and trust it to meet your business needs. 

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