We structure, connect, and process your company’s data from various sources — quickly, reliably, and at scale. Using modern data management software and advanced tools, we create a clean data foundation, automate flows, and sustainably improve data quality. Based on this, we work with you to develop a robust data management strategy that enables efficient analysis, dashboards, and AI applications.
Common challenges
From data chaos to a clear strategy
Structured data management and processing gives you control over your data: processes run automatically, reports are based on current information, and all departments access the same reliable database — efficient, scalable, and future-proof.
Data Management & Processing Solutions & Applications
Business process automation
Many business processes are time-consuming, error-prone and not very scalable. With business process automation, we automate recurring processes, reduce manual effort and increase process quality. This allows you to gain speed, reduce costs and create space for value-adding activities in your company.
Data warehousing
Data from different sources only brings real benefits when it is available in a centralized and structured form. With modern data warehousing solutions, we consolidate your database, create transparency and enable reliable analyses. This is how we lay the foundation for BI, reporting and data-driven decisions at all levels.
Order management
A smooth order process is crucial for customer satisfaction and efficiency. Our order management solutions ensure transparent processes, automatic synchronization and clear control – from order to delivery. This allows you to increase your service quality and maintain an overview of your order situation at all times.
Challenges in the automotive industry
- Data silos between production, logistics, and quality.
- Lack of real-time availability of production data.
- High error rate due to manual data entry.
Our solution with data management & processing
- Development of a strategy for seamless use of production data.
- Development of automated systems for validation and analysis.
- Integration of distributed data sources into a central platform.
Challenges in logistics & supply chain
- Insufficient transparency over inventory and transport.
- Outdated data sources and missing real-time updates.
- High error potential due to manual coordination.
Our solution with data management & processing
- Development of a strategy for real-time linkage of all logistics data.
- Development of automated data flows to optimize stock and movement.
- Consolidation of internal and external systems into a unified data platform.
Challenges in production & warehousing
- Lack of transparency in material flows.
- Inconsistent data sources in ERP and warehouse systems.
- Poor forecasting in response to changing demands.
Our solution with data management & processing
- Development of a strategy to unify and manage warehouse and production data.
- Development of tools for automated demand forecasting.
- Data consolidation from warehouse, production, and procurement.
Challenges in the financial sector
- Inconsistent customer and reporting data.
- Missing links between risk and financial data.
- Manual data checks for regulatory compliance.
Our solution with data management & processing
- Development of a data strategy for unified financial and risk reports.
- Development of automated validation mechanisms.
- Creation of central data models for analysis and compliance.
Challenges in portfolio management
- Different data formats from various portfolio companies.
- Delayed KPI reporting and slow decision processes.
- Lack of centralized data structures.
Our solution with data management & processing
- Development of a strategy for harmonizing portfolio data.
- Development of automated interfaces for data import and validation.
- Setup of a central platform for portfolio analysis.
Our collaboration process
First contact
We will contact you within 1-2 working days of your request to discuss your requirements and clarify any initial questions.
Analysis & strategy
We analyze your existing data and processes and use this as the basis for developing a customized data management solution that takes your specific goals and challenges into account.
Implementation
We implement the solution, integrate it seamlessly into your existing systems and train your team to ensure a smooth transition.
Optimization
After implementation, we provide you with long-term support, monitor performance and continuously develop your solution.
We use these tools for precise data analysis and business intelligence
