Data Warehouse
A data warehouse (DHW) is a specialized database that collects and stores large amounts of historical data from various sources and makes it accessible for analysis and business decisions. Expert knowledge is of the utmost importance for the selection and customized implementation.
Arrange a meetingThe challenge
When selecting and using a data warehouse, companies are constantly faced with challenges. The efficient management, analysis and use of large volumes of data must take into account a variety of criteria. These include data integration from different sources, scalability with rapidly growing data volumes, user-friendliness and other individual requirements. Overcoming these challenges requires careful planning, appropriate resource allocation and the use of modern technologies in order to set up and operate an effective and efficient data warehouse.
We know how to do it
In order to meet these complex and individual requirements, our experts offer a wide range of data warehouse services. We focus on sustainable and modern solutions, user-friendliness and performance.
Data Warehouse
The basis for business intelligence (BI) is usually a data warehouse (DWH), as BI and DWH are mutually dependent. The DWH creates defined and standardized access to all relevant data required for corporate management. Where previously only classic database systems were used, other solutions can now be used as a replacement or supplement within the DWH strategy. New options such as cloud services, data lake storage or in-memory technologies can give rigid DWH structures more flexibility, accelerate projects and reduce costs.
Data management
Data management ensures the transfer of operational company data from ERP/OLTP systems or external data sources into decision-relevant information from a logical perspective. This is generally known as Extraction/Transformation/Load (ETL).
Applications
The data warehouse forms the basis for a large number of different applications, both BI applications and applications in the sense of data hubs. Historically, DWH systems were primarily used for data analysis and planning, but recently they have also been increasingly used to distribute data to other downstream IT systems. Available real-time functionalities make this possible even with large volumes of data.
Master data management and data quality
Data quality plays a key role in a DWH project. This in turn is inextricably linked to standardized master data management. Master data in upstream systems is regularly of inferior quality or does not exist in full and must therefore be enriched. The establishment of a defined process for master data management is therefore essential for the quality and consistency of the data. This ultimately determines the value of a DWH and its acceptance by users.
DWH projects
What is visible to the user with tools for business intelligence and business analytics is only a small part of the overall construct of a BI application. The larger remainder comprises the source connections, harmonization, layered data processing and the implementation of topics such as data quality, compliance and master data management.
This can be counteracted by using self-service tools and the DWH level can thus be kept lean. However, this also requires more expertise on the part of the specialist users than a guided analytics strategy.
Our services
- Identification and prioritization / selection of use cases
- Analysis of requirements (data sources, data volume, requirements for hardware and software resources, etc.)
- Selection and development of a data warehouse platform
- Prototyping
- Standardization of processes for data provision (incl. compliance)
- Data storage, historization and archiving
- Automation of data transfers and reports
- Documentation
- Deployment and continuous delivery
- Definition of SLAs
Arrange a meeting
Select the desired date and arrange a non-binding and free initial consultation with Dieter Höfer (Partner & Sales Director). We will be happy to answer your questions and discuss solutions for your individual requirements.