Combine all relevant company data

A heterogeneous, decentralized system landscape with many individual reports usually prevents comprehensive data analysis. We support you in setting up a data warehouse that is individually designed to your needs and connects various of your source systems. Based on the existing infrastructure and by taking commercial and technical factors into account, we will find the most suitable solution for your requirements.

Our advantages:

• Full data transparency
• Avoidance of manual input tasks
• Reduction of personal dependencies
• Easy-to-understand meta model
• Versatile connectivity options

Visualization and reporting

After all relevant data is centrally available in meaningful structure, it can easily be used as a basis for all kinds of cross-system reports. Also, in this area we don’t want to establish new business intelligence systems in your company without necessity. We would be happy to support you with the integration into any existing applications as long as they are suitable for your needs.

• Visual check of data quality
• Expertise in energy optimization, CO2 and sustainability reporting
• Management reporting with meaningful data visualization as a solid basis for decision-making
• Compact dashboards
• Individual reports according to your specification

Data analysis and modeling

To be able to draw the right conclusions for process optimization from extensive data, simple reporting is usually not enough. On the other hand, the complexity of many mathematical modeling processes often represents a major hurdle in practice. Using modern data-driven analysis tools, we will show you how you can independently reveal the hidden relationships in your processes on a visual level and bring improvement potentials into implementation.

• Visually supported data exploration
• Pre-built dashboards tailored to specific use cases
• Easy data cleansing
• Derivation of easy-to-use models for What-If analyses
• Know-how transfer into your organization

IT consulting

With every digitization project, the question arises at some point: Where to go with the data? Into a cloud or rather locally? Which services should be used and how do they fit into the existing infrastructure? Today’s possibilities are almost endless and subject of constant change. Many solutions that promise perfectionism in theory later show their pitfalls during implemented in the productive environment. Benefit from our wide experience and avoid wrong decisions at an early stage.

• Evaluation of services, providers, tools
• Cost transparency
• Creation of prerequisites (e.g. interfaces)
• Implementation