Data warehouse
Focus on decision support and strategic information
Data warehouse
Focus on decision support and strategic information
What is a data warehouse?
A data warehouse is an integrated and persistent collection of an organisation’s data used in its operations, grouped around business concepts. It can store large amounts of data and allows for efficient analysis. Its primary purpose is to support management decision-making and to extract strategic information.
Data storage: data warehouses can store terabytes or even petabytes of data, consolidated and structured.
Loading/processing processes: data is usually loaded using ELT (Extract, Load, Transform) processes, where the data is first extracted, then loaded and transformed into the format required for the data warehouse to function.
Data integration: the data warehouse connects and integrates data related to business processes so that it can be used regardless of its source.
Why is a data warehouse important for businesses?
Comprehensive data analysis
Data warehouses enable comprehensive data analysis to help you identify business trends and react quickly to market changes.
Decision support
Significantly supports decision-making processes by giving business managers easy access to the data collected
Optimised performance
Data warehouses optimise performance because our data is stored in a structured and easily searchable format
Time series analysis
Data warehouses enable time-series analysis to help you assess past performance, forecast future trends and develop business strategy.
Data quality and integrity
In data warehouses, our data is carefully checked, cleaned and maintained. As a result, the quality and integrity of the data will be improved, which is key to reliable decision-making.
Scalability
Data warehouses are scalable, meaning they can handle increasing volumes of data and increasingly complex data requests. This is particularly important to adapt to the growing needs of businesses.
Security and privacy
Data warehouses enable secure storage and control of data availability. This is critical to protect sensitive corporate data.
Business intelligence
Data warehouses enable the application of business intelligence to help optimise business processes and improve business performance.
Functions
Data collection and storage
The primary function of the data warehouse is to collect and store business data. This data can come from a variety of sources, including transactional databases, external data sources, files and other data sources.
Data integration
A data warehouse is the process of integrating data, i.e. harmonising and standardising data from different sources to create a single, coherent data set.
Data transformation
The data warehouse may also apply transformational steps to the data, such as aggregation, filtering, transformation or other operations to better fit the analytical purposes
Data cleaning
The data warehouse cleans the data by removing redundancies, gaps and other errors. Consistent and clean data allow for more accurate analysis.
Query and report data
The data warehouse enables business users to query and report on data.
Business intelligence and analysis
The data warehouse, integrated with business intelligence tools, enables complex business analysis, trend identification and decision support.
Data security
The data warehouse system ensures the security and protection of data, including access rights management, data encryption and other security measures.
Benefits
Fast decision making: data warehouses allow faster decision making as data is easily accessible and stored in a structured format.
Data consistency: data warehouses help to maintain data consistency by storing data in a consistent format.
Trend analysis: data warehouses allow you to analyze long-term trends and business performance.
Data warehouses play a critical role as part of an enterprise data strategy, enabling companies to harness the value of their data and gain a competitive advantage.
Enterprise-class data warehouse solutions for everyone
Our company assists our customers in the design and implementation of data warehouses. Our expert team will support you throughout the entire process, from initial consultations to a full audit of the completed data warehouse. Thanks to our outstandingly broad technology repertoire, we design and implement data warehouses that fit the specific needs of our customers.
Our key features:
- Technology diversity: Oracle, Microsoft SQL Server, Azure Synapse Analytics, Big Data solutions, on-premise and cloud environments.
- Flexibility and stability: native cloud, service-based architecture for high stability and cost-effectiveness.
- MiniDW: We are big in small! A solution that is easy to expand, modify and get up and running quickly for those considering implementing their first data warehouse.
In data warehouses, we use the proven classic model, with a layered structure that ensures data is cleaned and integrated in a controlled way. This structure allows the development of a data market layer where objects optimised for query performance support efficient decision making.
This layering not only allows for easy integration of BI and analytics tools, but also ensures reliability and easy connectivity to data. The classic data warehouse model is thus the key to flexibility and reliability for effective decision-making.
The model allows easy data management and optimization of query performance at the data market layer. Here we create objects specifically optimised for query efficiency, making decision making and analysis easier.
- Expertise: we have years of experience in designing and implementing data warehouses.
- Quality and coherent structure: all our solutions follow a coherent, well thought-out structure, ensuring ease of design, development and expansion.
Send us your contact details and we will contact you as soon as possible, or contact us at
+36 1 204-7730!
