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The SAP BW (SAP business information warehouse) provides the right structures, functionalities and to enable companies to precisely achieve these goals. Thus, all relevant business information from productive SAP applications and all external data sources integrate into the in SAP BW, where it is transformed and consolidated. There are also flexible reporting and analysis tools to support data analysis and interpretation. Also, the distribution of the information obtained can be controlled. Based on the analysed data, you can make secure decisions and derive targeted actions for your business.


Rescue from the flood of data: SAP BW

As a company whose decisions and processes are built on data, you are familiar with this: The point is not to merely cope with the flood of data, but also to make it work for the company. Often the data management thereby obtains data from heterogeneous sources. This is not usually uniformly structured or included in the evaluation of different values in a single case. Even with individual analyses with isolated solutions, not all available data can often be used. In addition, access rights are sometimes unclear and data thus unattainable. The effective use of the available data for the companies is an existential question. Without this, important management decisions are not possible or effective:

  • Competitive positioning can not be guaranteed.

  • Sound and targeted budget planning is not possible.

  • Opportunities and risks are not easily identified.

  • Correction options for possible forecasts are hampered.


  • The planning and control of processes is not guaranteed.

SAP BW (SAP business information warehouse) offers precisely the right solutions to avoid these problems. Thanks to the integrated and coordinated components, all corporate data is optimally generated, structured and made available. Thus consistent data becomes information that ennables sound management decisions and optimal control of processes.

Our BI technologies for SAP

Our solutions are based on established Business Intelligence technologies such as Qlik and Jedox. These technologies offer connectors and templates for analysis, reporting and planning in the SAP environment.

  • Technologien - Qlik
  • Technologien Jedox


SAP BW as an integrated solution

SAP BW is a core component of SAP NetWeaver. This means that SAP BW can be easily integrated into an existing landscape. This provides integrated components with complex working meachanisms within the SAP BW:

  • SAP Data-Warehousing

    Data warehousing functionality in SAP BW

    Data warehousing means: Integration, transformation, consolidation, clean-up and storage of data. The provision of data for analysis and interpretation is integrated here. The data warehousing process includes data modelling, data delivery and administration of the data warehouse management processes. In the case of various source servers, this means that all data will be assigned to a target server.

  • SAP BW Business Intelligence

    Business Intelligence platform in SAP BW

    The business intelligence platform provides for a technological infrastructure and for other various analytical technologies and functions. These include the OLAP processor, the metadata repository, business planning and simulation, and special analysis processes such as data mining and the reporting agent.

  • SAP BW Reporting

    Suite with BI Tools in SAP BW

    Here you are provided with flexible reporting and analysis tools for strategic analysis, operational reporting and to support decision making in business. This includes query, reporting and analysis functions. Authorised staff can analyse historical and current data to varying degrees of detail and from different perspectives - via web or with MS Excel. Example data export: Business intelligence content can be distributed as precalculated documents or published in the enterprise portal.

When does SAP BW make sense?

  • If there is a lack of structured data warehousing in the company.

  • If reporting, analysis and interpretation of data are deficient.

  • If reliable and sustainable BI solutions are required.

  • If information security is desirable for decision making.

  • If particularly SMEs wish to optimise their processes.