Data Warehouses

A data warehouse is an element of a Business Intelligence system which allows to manage data. Its aim is to support the preparation of analyses based on business data.


A data warehouse enables the consolidation of large amounts of data from different sources. Its analytic possibilities help organizations gain access to valuable business information, which, in turn, increases the quality of the decisions made.

The most common elements of a warehouse include: relational database, ETL processes enabling the upload and transformation of data, reporting and data exploration functions, as well as tools for business users for the visualization of data.

Advantages of data warehouses


Working in an organization that manages large amounts of data without any data repository, e.g., in a form of a warehouse, leads to many problems. They may include the lack of control over the quality of data, data volatility and the need for the mundane manual preparation of reports based on several sources.

The implementation of a warehouse brings unlimited business benefits. This is why it is an optimal solution in the case of many Business Intelligence systems. Thanks to this tool, clients don’t have to waste time on manual reporting, data is periodically imported to the warehouse from source systems and is automatically updated. Some of the services, which allow for data visualization, e.g., Power BI, enable the direct integration of source systems, but also have some limitations. Data warehouses have an advantage over them – they assure the increased control over data, their standardization and, in effect, a better quality of data and reports which are all based on a warehouse understood as a common source of reliable information.

Thanks to a data warehouse, managers have access to relevant data every time they need it, which facilitates management and allows decisions based on relevant data to be made.

The sources of data which can power a data warehouse:

SQL database
.xls / .csv files
Subiekt GT
Google Analytics

Active Directory
ERP Systems
CRM Systems

Implementation method


We approach each project individually, because each implementation entails other issues that are connected with diverse functional requirements, databases, business models and such matters as data quality and standardization. We work in sprints, accordingly to the agile project management methods, and we deliver teams of specialists of size and expertise level adjusted to the scale of the problems. What is more, we provide you with increased data quality. Our projects include automated testing, which allows inconsistencies in data to be detected.

Frequently asked questions

A data warehouse may be integrated with data sources of your choice, including: SQL databases, Sharepoint, Excel spreadsheets, CSV files, Active Directory. The scope of the integration depends on the client’s business needs.

We work in accordance with the agile project management methods, in sprints, which allows us to deliver results relatively quickly, retain control over the implementation process, without high costs for clients. This is why, at the first phase of cooperation, we offer our clients 1-2 sprints or a pilot proof of concept. After this stage, you have to ability to decide if we will continue to work together and further develop the project or we can leave your internal IT team with the solutions to be developed. If you want to learn what the costs of the first phase are in your case, we will be able to evaluate them after having identified your problems and needs.

Our data warehouses and Business Intelligence system are based on Microsoft technology stack, including Microsoft SQL Server and Power BI. Warehouses may be installed on a client’s local server or in a cloud computing environment (e.g. Azure, AWS) assuring a better scalability of resources.

Are you interested in our offer?

If you need help in introducing, maintaining of developing a data warehouse, contact us and we will try to resolve your problems and suggest the best solutions.