Data Warehousing

Implement data warehousing to centralize and organize your data, enabling efficient analysis and strategic decision-making across your organization.

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From an IT operations perspective, the stability of the data warehouse and fast response to any issue are critical for us. Adastra has been supporting our DWH in a way that gives us confidence in daily operations. Thanks to monitoring, we often resolve incidents before users even notice them, and during infrastructure changes, we have access to enhanced support. This is essential for running a retail network of our scale.

Petr Kyzlink

IT Manager Service Delivery Applications Operations

Albert

With the data from our new data warehouse, we can prepare reports about broadcasts quickly and easily. We are now working in an environment that we are able to customize. We work with the solution ourselves, without needing the IT department to intervene.

Renata Týmová

Head of Research and Analysis

Czech Television

Among the highest-risk customer segment, the machine learning model ultimately reduced churn by 50% compared to the control group.

Tomáš Paulík

Head of CRM

E.ON

When we requested that we shorten the deadline for replacing the DWH by one year, we meant it, in part, as an overstatement. The work was successful mainly due to the fact that the participants did not play their own games, but put literally all their energy and skills into achieving a common end. As a result, we have taken a significant step forward in the key area of BI/DWH, and can effectively support the business of both insurance companies.

Filip Král

Member of the Kooperativa Board of Directors

Kooperativa

Solving our customers' needs more efficiently is what matters most to us. Moving to the Microsoft Azure cloud has increased our data management capabilities and opened up new opportunities for better customer care. Microsoft Azure has proven to be the ideal solution for our big data requirements, providing scalability, cost efficiency, and robust security. With Adastra's expertise we have smoothly executed this project.

Slavomír Pšenák

Head of Technology

O2 Slovakia

Working with Adastra was a pleasure. Their approach and experience enabled us to successfully adopt the platform and prepare it for our data product strategy as a modern bank.

Lukáš Mazánek

Chief Data Officer

Raiffeisenbank

The Microsoft Fabric solution has proven to be highly efficient, with remarkably low capacity requirements — delivering tangible added value for SCONTO Nábytek at very low cost.

Petr Maršálek

Chief Financial Officer

SCONTO Nábytek

Adastra cooperated with us in an exceptional way, we thank Adastra consultants for their professionalism, support and commitment while constructing this robust data warehouse system with us.

Juan Pablo Onofre

IT Project Manager

Tirecheck

Our cloud-native data platform gives UNIQA a single source of truth across Czechia and Slovakia, speeds up business insight, and provides a stable foundation for cross-domain use cases.

Jiří Kuchařík

Head of Data & Analytics

UNIQA

Even though the project had seemed to be quite straightforward at the very beginning, a number of challenges, especially related to the Business Objects reporting infrastructure and data quality, appeared. I appreciate the proactive approach and communication with business users that was undertaken to resolve these issues. The new reports were put into production and this enabled us to switch off the Original Data Warehouse.

Zdeněk Martinec

Head of Management Information and Business Intelligence, Finance

Vodafone Czech Republic

We chose Adastra’s OptiSuite optimisation tool. Thanks to it, we increased performance without expanding capacity and expect benefits of up to EUR 10 million over five years. Adastra helped us set up processes, data, and planning so that AI could finally work with what was actually happening in production. As a result, efficiency increased from 60 % to 85–90 %, and planning stopped failing.

Jan Slavík

IT Director

Bednar FMT

We reduced campaign preparation time from several days to less than six hours and cut administrative workload by 80%. Adastra helped us move from manual processes to automated, data-driven communication.

Ondřej Darvaš

Digital Channels Manager

Prague Airport

The implementation of the AWS Cloud Analytics Platform powered complex insights into our business in an automated fashion. This eliminated the need of manual data manipulations and allowed all business users to focus on our main mission - offer high-quality, affordable healthcare and deliver integrated medical services with compassion and care.

Chris Smith

VP Digital Health

Skylight Health Group

Having this new system helps us access powerful insights that were previously too challenging to uncover. The data is now at our fingertips, and we have this great visibility into a wealth of information. If you can't measure it, you can't fix and improve it.

Jason Condello

CTO

Mathnasium

The key to implementing this project quickly and successfully was our partner Adastra. Adastra prides itself on the same values as our specialist teams at IKEA. Cooperating with them was absolutely great.

Iveta Kutišová

Country Ikea Family manager

IKEA

As a result of this collaboration with Adastra, we have an excellent consolidated view of our data and we will be gaining important business insights.

Karel Dejaeger

BI Project Manager

Volkswagen Financial Services

The IT reporting solution developed by Adastra provides the VW Group with a structured, scalable and automated technical foundation for planning, reporting, and data processing - combined with modern agile and DevOps practices.

Alexis Goss

IT Product Owner

Volkswagen

As we implement online services capturing more data, we knew that success would require a robust data platform to empower analytic capabilities for data-driven decisions and business insights.

Kelley Irwin

CIO

Electrical Safety Authority

Adastra worked closely with our operations, applications, and security teams to decide on the best architecture for the solution and was able to migrate over 100 servers to AWS in less than 100 days. We migrated more than 70 terabytes of data and are now hosted fully on the AWS Cloud.

Mark Segal

Chief Information Officer

CBI Health

We partnered with Adastra to modernize our long-standing Teradata EDW to GCP BigQuery (BQ). Our partnership made the migration journey efficient and valuable. We are now able to make decisions quicker and experience faster backup and recovery cycles. Excellent work!

Jason Murphy

Director of Business Intelligence CoE

Giant Tiger

Empower Your Business with Scalable Data Warehousing Solutions

You rely on data to make informed and profitable decisions. But it can be hard to find timely, critical insights if you don’t have the right data management systems in place.

Benefit from a modern data warehouse that meets your current and future business needs. Our on-premises and cloud-based solutions offer cost-effective data storage and can scale on demand as your requirements change. Consolidate all your structured and unstructured data into a single repository, so teams have on-demand access to timely, accurate, and secure data. We have partnerships with key data warehouse providers—including Amazon, Google, Microsoft, Databricks, Snowflake, and Cloudera.—and can custom-tailor a solution that meets your needs.

The Power of Modern Data Warehousing – Unlocking Data Potential and Elevating Insights

Unleash the potential of modern data warehousing for your organization. Harness real-time analytics, scalability, data quality, and enhanced security to make informed decisions that set you apart in today's competitive landscape. 

Data Quality Assurance

  • Ensure critical decisions are based on accurate, well-governed data.

  • Enforce standards and consistency for high data quality and reliability.

Real-time Insights

  • Process and gain immediate business insights from cleansed cloud warehouse data. 

  • Enable historical analysis, trend analysis, and forecasting for strategic planning. 

Scalable Infrastructure 

  • Seamlessly scale your cloud data warehouse to meet varying activity levels. 

  • Accommodate data growth without compromising performance. 

Robust Security Measures 

  • Modern data warehouses feature comprehensive access and security controls. 

  • Centralized repositories improve data access and security management. 

Business Continuity 

  • Data redundancy ensures continuous availability even during emergencies. 

  • Prevent performance degradation by separating analytical processes. 

Cost-Efficient Cloud Model 

  • Store vast amounts of data while avoiding IT maintenance costs. 

  • Efficiency gains make data warehousing cost-effective over time. 

Centralized Data Repository 

  • Consolidate structured data from multiple sources for efficient querying. 

  • Support data governance practices through standardization and quality control. 

Informed Decision-Making 

  • Comprehensive insights support data-driven decisions across the organization. 

  • Gain a competitive edge by harnessing the full potential of your data. 

Elevate Your Data Warehouse with Adastra 

Learn how Adastra empowers your data strategy with versatile reporting, advanced data modeling, and ongoing support for a responsive, secure data warehouse. We have experience in all generations of data warehouse architectures, including Inmon’s Enterprise Data Warehouse, Kimball’s Dimensional Data Warehouse and Lindstedt’s Data Vault.

Our data warehousing approach is based on the following principles:

Cutting-Edge Data Warehouse Architecture

Our architecture is at the forefront of the latest trends, ensuring accessible and tailored information for diverse user needs.

Data Strategy Consulting

We guide you through every phase of your data transformation journey, from design to implementation. Our recommendations optimize performance and cost-effectiveness.

Versatile Reporting Capabilities

Our solutions support both regular and flexible ad-hoc reporting, meeting various analytical requirements.

Leveraging Industry Experience

With insights from numerous data warehousing projects across diverse organizations, our approach has proven effective. We excel in multiple data warehouse stacks.

Empowering In-House Expertise

We provide training for your company’s data warehouse experts, enabling effective utilization and long-term management of the solution.

Data Modeling for Advanced Analytics

Our data modeling and warehousing solutions are designed for real-time and advanced data analytics, enabling you to uncover relationships and trends across your organization.

Data Integration

We ensure seamless collection and consolidation of data from diverse sources, creating a unified data pool to meet your business needs.

Cloud Readiness and Migrations

Whether on-premises or in the cloud, we build data warehouses with future cloud adoption in mind. If needed, we can seamlessly transition your data to the cloud while ensuring a smooth migration process and roadmap for your data transformation goals.

Adastra’s Data Warehouse Delivery Process

Discover the essential steps in deploying a data warehouse, ensuring it meets your organization’s data management and analysis needs.

1

Requirements Analysis

Understand and document the business and technical requirements for the data warehouse.

2

Design and Architecture

Create a comprehensive design encompassing conceptual, logical, and physical aspects.

3

Technology Selection

Choose the right database management system, ETL tools, and business intelligence (BI) reporting tools.

4

Development 

Develop ETL processes, data models, and set up the database infrastructure.

5

Data Integration

Extract, cleanse, transform, and load data from various sources into the warehouse.

6

Testing

Conduct unit, system, and performance testing to ensure functionality and efficiency.

7

Deployment Planning

Plan the deployment, schedule, and resource allocation for a smooth rollout.

8

User Training

We provide second-level support, assisting with tool updates, and handle developmental change requests to ensure sustained success.

9

Maintenance

Regularly maintain and monitor system performance and stability.

Success Story

40% Lower TCO with a Modern Data Analytics Platform in Azure Cloud

A nonprofit wanted to empower its business users with self-service BI and predictive analytics.

Adastra built a modern analytics platform in Azure Cloud to give users a single source of truth and real-time analytics that inform their decisions.

3x

faster solution development

40%

lower total cost of ownership

100%

cleaned data

40% Lower TCO with a Modern Data Analytics Platform in Azure Cloud - square.

More Success Stories

Build a Data Warehouse That Scales with You

Let’s assess your current warehouse and define a modern architecture that scales with data volumes and analytics demands.

Modern Data Warehousing FAQ

What layers are included in a data warehouse?

A modern data warehouse typically has a data source layer for internal and external systems, a staging and integration layer for extraction and transformation, a storage layer with modeled data, an analytics and reporting layer, and security and governance across all of them. Each layer has a clear role, which keeps data reliable and easy to use.

A modern data warehouse is a scalable, usually cloud-based platform that centralizes data from across the business for reporting, analytics and AI. Unlike legacy systems, it separates storage and compute, scales on demand and supports near real-time data. It gives teams one trusted source of truth with built-in quality controls and security.

For most organizations, yes. A cloud data warehouse removes hardware limits, scales with data volumes and follows a cost-efficient, pay-as-you-go model. In one Adastra project, a modern cloud platform delivered 3x faster solution development and 40% lower total cost of ownership. Adastra assesses cloud readiness and plans a low-risk migration.

Adastra follows a structured delivery process: requirements analysis, design and architecture, technology selection, development, data integration and testing, followed by deployment and support. Each step has defined outputs you review, so the warehouse matches your reporting needs, integrates your sources and is ready for advanced analytics and AI from the start.

Quality is built into every layer. Adastra adds validation rules during data integration, monitors data completeness and accuracy, and applies data governance with clear ownership. Issues are detected before they reach reports, and lineage shows where each figure comes from. Business users can trust the warehouse as their single source of truth.

Yes. Modern data warehouses ingest streaming data and support near real-time dashboards, while data modeling for advanced analytics prepares data for machine learning. Adastra designs the architecture so the same governed data serves reporting, analytics and AI use cases, instead of building separate copies that drift apart and cost more to maintain.

Yes. Adastra builds in-house expertise alongside the platform through documentation, training and hands-on collaboration during the project. Your team learns to operate, extend and optimize the warehouse independently. We also offer ongoing support if you prefer, so you choose the level of involvement that fits your organization, budget and growth plans.