Structural deficits
Deficits in data, transparency, and operational effectiveness affect both processes and the organization.
Fragmented data landscape
Data is distributed across IT, OT, and business units. A consolidated view of interdependencies does not exist.
Lack of real-time transparency
Relevant information on disruptions, quality, or utilization is not consistently and promptly available. Management is reactive rather than proactive.
AI without operational impact
High manual effort
Evolved system landscapes
Distributed knowledge
Information is not centrally available. Knowledge is tied to individual systems or people.
Lack of economic justification
High requirements for security and operations
End-to-end data and process architecture
Our approach does not start with individual applications, but with the structural foundation: an end-to-end data and process architecture.
Operationally viable and secure architecture
The platform, ManageNow® for Data Analytics, is designed for use in hybrid, on-premises, and regulated environments. Security, stability, and compliance are integral components.
Consolidated data foundation
Data from IT, OT, and business units is consolidated and made available in real time. This creates a consistent view of processes and system behavior.
Real-time transparency
Data is continuously collected and analyzed in real time. Conditions, deviations, and developments become immediately visible.
Targeted use of AI
AI is applied where clearly defined tasks exist and direct value is created. AI agents operate within defined frameworks and remain controllable.
Automation of operational processes
Recurring processes, from service operations to administrative tasks, are systematically automated. This reduces manual effort.
Central knowledge base
Measurable business case
Use cases are selected purposefully and implemented with clearly defined KPIs. Results are transparent and economically assessable.
Structuring of knowledge and documentation
Modular services for data, automation, and AI with measurable impact
Our services specifically address the implementation of operationally effective data, automation, and AI applications based on clearly defined use cases.
Scalable platform for data integration, analytics, and automation based on modern container architectures.
Development of customer-specific AI agents for the automated processing, analysis, and integration of data and processes.
AI-supported enablement of support organizations to accelerate processing, improve service quality, and relieve employees.
Integrated, production-ready approach for data, automation, and AI
The approach combines data, processes, and technologies into an end-to-end, operationally usable structure with a clear focus on stability and measurable value.
Focus on productive use cases with measurable value instead of isolated pilot projects
Integration of existing systems instead of adding further complexity
Solutions are designed from the outset for stable operations, security, and traceability
ManageNow® for Data Analytics provides a unified platform for data analytics, automation, and AI instead of fragmented tool landscapes
Overview of our core IT services
