Contextualised Data: The Basis for Generative Process Intelligence

The Relevance of Context Information for Business Process Optimization

The continuous optimization of business processes is a central challenge for companies aiming to increase efficiency, reduce costs, and gain competitive advantages. In this context, Generative Process Intelligence is becoming increasingly important. Context information plays an essential role in this, as it not only enriches existing process data but also provides a solid decision-making foundation for automated and data-driven optimizations.

But what exactly is context information in the field of Process Intelligence? It can exist in a wide range of forms: from company-wide framework conditions such as industry, revenue trends, and number of employees to granular process-level details. Situational factors, such as temporary staff shortages or seasonal fluctuations, can also serve as context. By specifically integrating this information, hidden correlations that significantly impact process efficiency and effectiveness can be uncovered. The key benefits include:

1. Improved decision-making: Context information enables data-driven analysis and reduces uncertainties in process design.
2. Increased accuracy in process optimizations: Considering relevant influencing factors minimizes misinterpretations and optimizes control mechanisms.
3. Integration of structured and unstructured data: Linking various data sources creates a comprehensive picture of the process landscape.
4. Transparency and root cause analysis: Identifying problem origins becomes easier, enabling targeted intervention.
5. Adaptive learning and continuous improvement: Algorithms can dynamically adapt to contextual changes and proactively generate optimization suggestions.

The Added Value of Context Integration at Noreja

At Noreja, we focus on comprehensive integration of context information to enable our customers to conduct in-depth and adaptive process analysis. Our platform allows flexible incorporation of various contextual factors that can be applied across different levels of process management. These include:

• Company-specific context: Industry affiliation, company size, strategic goals, and market dynamics.
• Data source-specific context: Origin of the data, applications used (e.g., SAP), system type (e.g., ERP), and system status (e.g., production data, test data).
• Entity-specific context: Processes, process steps, involved roles, system interactions, and connections between different process components.
• Dimension-specific context: Seasonal fluctuations, resource utilization, potential bottlenecks, regulatory conditions, and company-specific deviations.

A key advantage of our solution is the ability to incorporate both formal and informal context data into the analysis. For example, detailed process documentation can be combined with situational information, such as temporary staff shortages or technical constraints. This integration enhances analysis precision and enables dynamic process control adjustments.

By intelligently linking process and context data, Noreja helps companies not only implement reactive process improvements but also proactively and adaptively respond to changing conditions. This enables sustainable process optimization, ensuring long-term competitive advantages while simultaneously increasing operational efficiency.