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Process Mining
At SiTA, Process Mining Specialists are professionals who examine and evaluate business processes to improve efficiency, effectiveness and quality. They use data analysis, modelling and process optimisation techniques to enhance organisational performance.
Key components of PROCESS MINING at SITA :
Data Collection
Performance Metrics
Data Collection
Gathering quantitative and qualitative data about current processes. Utilising tools like surveys, interviews and process mapping. Ensuring data accuracy and relevance to inform analysis and decisions.
Process Mapping
Performance Metrics
Data Collection
Visual representation of workflows to understand the sequence of activities. Identifying inputs, outputs and stakeholders involved in each step. Highlighting inefficiencies, bottlenecks and areas for improvement.
Performance Metrics
Performance Metrics
Performance Metrics
Defining key performance indicators (KPIs) to measure process effectiveness. Tracking metrics like time, cost, quality and customer satisfaction. Using these metrics to benchmark current performance against desired outcomes.
Root Cause Analysis
Documentation & Reporting
Performance Metrics
Identifying underlying causes of process inefficiencies or issues. Techniques include the 5 Whys, Fishbone diagrams and Pareto analysis. Addressing root causes to implement sustainable improvements.
Process Improvement
Documentation & Reporting
Documentation & Reporting
Developing strategies to enhance efficiency, reduce waste and improve quality. Methods include Lean, Six Sigma and Total Quality Management (TQM). Implementing changes and monitoring their impact on overall performance.
Documentation & Reporting
Documentation & Reporting
Documentation & Reporting
Creating detailed reports on findings, analyses, and recommended actions. Ensuring clarity and accessibility of process documentation for stakeholders. Facilitating communication and alignment across the organization