Business Process Management
Increase efficiency with optimized process management

Optimize your business processes
Companies are constantly looking for ways to improve their processes, in order to reduce costs, shorten turnaround times, and increase service delivery—in short, to improve overall performance.
Process optimization using the BPM methodology involves formalizing the company’s current processes, to have a global, cross-functional view of the company’s activities. This vision enables us to identify potential areas for optimization.
Workflows are then implemented in the IS and, wherever possible, automated using business applications.
data-major supports its customers in the implementation of BPM. Thanks to our consultants’ expertise, we have comprehensive knowledge of major corporate processes. Our ability to adapt helps us understand your context and recommend the most appropriate solution.
We support you in all aspects
of the process management
PROCESS MODELING
Mobilize data to create accurate business process representations, such as workflow diagrams, process maps, or notations like BPMN (Business Process Model and Notation).
PROCESS ANALYSIS
Analyze data to understand and evaluate process performance. This can include process mining, workflow analysis, and bottleneck analysis.
PROCESS AUTOMATION
Deploy tools to automate manual and repetitive tasks. Data is essential to configure automation and integrate various systems and processes.
PROCESS OPTIMIZATION
Use data to identify inefficiencies and opportunities for improvement in processes. Continuous optimization is essential to improve efficiency, reduce costs, and enhance customer satisfaction.
MONITORING AND REPORTING
Continuously monitor process performance through dashboards and reports based on real-time data. This helps monitor KPIs and make decisions based on reliable data.
DATA GOVERNANCE AND COMPLIANCE
Ensure that data used and generated by business processes is managed securely and according to regulations. This includes access management, data quality, and regulatory compliance (such as GDPR).


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