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Process mining bridges a company’s information systems and processes by capturing data from various sources such as transaction/ ERP systems, system of engagement, CRM and workflows. By providing insights into actual process execution, it acts as a digital twin, identifying bottlenecks and inconsistencies, consequently improving operational efficiency and KPIs.
Process mining uses transaction events from various source systems to map the actual process and identify transformation opportunities. Process mining tools ingest data from source systems, transform it to meaningful business activities and aid in visualizing the process and performance metrics. It uses a data driven approach to transform and optimize processes.
Process mining: Overview
The core benefits of implementing process mining are:
Discovering process variations
Identifying bottlenecks and performing root-cause analysis
Measuring current process performance
Enhancing end-to-end customer experience
The market for process mining software is expected to grow from $2.46 billion in 2024 to $46.39 billion by 20321. As businesses strive to improve efficiency and gain competitive advantage, they will invest in digital tools to have deeper insights into their processes.
For smooth end-to-end implementation of process mining projects, businesses usually utilize third party consultants. This approach reduces their burden of managing complex implementations and maintenance, allowing businesses to focus on their core competencies. Collaborating offers scalability, since consultants tailor solutions to meet the specific needs of the company. It provides access to professional experience, bringing in deep knowledge of technology and methodologies through seasoned consultants. External consultants will also bring independence and objectivity to provide an impartial stance on how the business can drive actionable process improvements.
The future of process mining can be intertwined with subsequent advancements of artificial intelligence and machine learning. These technologies have the potential to enhance capabilities of process mining through automated root cause analysis and AI-based insights to refine aspects of process discovery and improve business cycle. With the help of AI, sophisticated analysis through pattern identification and anomaly detection can be executed. On the other hand, machine learning can improve predictive analytics and enable organizations to forecast future process performance and proactively address potential issues.
Services we offer
Our strong technical and subject matter knowledge can help drive robust business transformation. We offer end-to-end process mining implementation and scaling of process mining solutions across functions.
Initiate process mining with proof of concepts or pilot projects for one process
Vendor comparison and selection based on requirements and existing data structure
End-to-end implementation including data connection, extraction, data modelling and transformation across functions, customized to your needs
Opportunity identification and value framing, including identification of a robust transformation opportunity pipeline
Establish process mining as centre of excellence and explore upcoming capabilities like task mining, object centric process mining etc.
Alliance relationships
1. Fortune Business Insights, 2024. Process Mining Software Market Size, Share & Industry Analysis, By Deployment (Cloud-based and On-premises), By Enterprise Type (Large Enterprises and Small & Medium Enterprises), By Application (Order Management, Digital Transformation, Customer Satisfaction. [Online]
Unlock your organization's potential with a strategic approach to Process Mining. Optimize processes for success and drive impactful business outcomes.