Process mining Center of Excellence (CoE) is a group of specialists in a company that accumulates process mining expertise, leads process mining projects and promotes data-driven process improvements throughout the company.
CoE creation & support projects may include:
Process or Task Mining adoption in the company starts from the identification of opportunities - Discovery phase.
The project involves multiple process definition workshops. Various processes within the company are assessed to select those that are most suitable for Process or Task Mining. Those processes ought to have a significant impact on the company's performance, or are prone to inefficiencies or errors.
Discovery project allows digital maturity assessment and creating the effort-impact matrix for future implementations.
Process Analysis involves reviewing and refining actual process structure and behaviuor to improve efficiency, identify bottlenecks, and optimise cost and performance. The core technology for the Process Analysis project is Process mining.
It starts by understanding the process and its targets, and collecting actual data from source systems. Then the data is processed and loaded to a Process Mining tool and the process map is automatically discovered. After process model validation we start iterative analysis phase: looking for bottlenecks and their root causes, outliers, and scenarios, that have a significant impact on process KPIs.
As a result of a Process Analysis project, we have a real process map in BPMN and a report with outcomes, describing all the findings, their impact, recommendations on optimisation activities, and their expected value estimation.
We help other businesses not only with the identification of optimization points, but with their implementation, bringing the discovered value potential to life with process automation, monitoring, data science etc. - adding complementary technologies to support our clients during the entire hyperautomation journey.
Task Mining is a set of techniques involving capturing and analyzing user interaction data with software applications in order to understand and document the tasks performed by users.
The project typically starts with the deployment of specialized software that captures user interactions in business applications: uploading/downloading of the files, copy-pasting, mouse clicks, etc. This data is then analyzed to identify patterns, bottlenecks, and areas for improvement.
Task Mining synergizes well with Process Mining especially if digital footprints in IT systems don't suffice for the real process map.
Process Mining can help to make different processes across the end-to-end supply chain more sustainable by:
Our expertise allows us to solve different tasks to improve business processes across finance, banking, and insurance, including:
• Optimizing complex financial processes, enhancing data processing and financial reporting. Use Cases: time reduction for report creation to regulators; increasing customer rating in trading operations.
• Increasing the banking operations efficiency, reducing the time for customer operations, and improving risk management. Use Cases: optimization of the account opening process, customer credits and credit recovery process; improving KYC and client onboarding experience.
• Enhancing the claim settlement processes, policy management, and personalization of offers. Use Cases: refining the claim management process and optimizing underwriting procedures.
Process Mining empowers manufacturing companies to make data-driven decisions, optimize their processes through the whole supply chain, and drive tangible business outcomes such as cost savings, quality improvement, increased productivity, and enhanced customer satisfaction. Process Mining has a strong synergy with Manufacturing Execution Systems (MES). Data from MES incorporates information related to production orders, machine utilization, material flow, and quality control.
Thus, Process Mining allows to analyze and improve:
In addition, Process Mining enables data-driven strategical planning via Simulations. This technique allows for experimentation with different parameters and configurations to improve efficiency. Changes can be implemented based on Simulations insights, and potential impacts can be predicted.
Process mining in supply chain management involves viewing the supply chain as a seamless, end-to-end process.
It focuses on strategically managing how each element influences the entire supply chain, enhancing efficiency and responsiveness. By analyzing interdependencies, organizations gain insights to create a streamlined and interconnected operational landscape.
Process Mining helps to optimize supply chain operations:
Our experience in Supply Chain includes cases in retail and pharmaceuticals.
Process Mining helps to optimize warehouse operations:
From the experience of our clients in FMCG area implementation of process mining based monitoring and continuous improvement leads up to 30% faster order picking in first 2-4 months.
Process Analysis uncovers the current state of a process, identifies bottlenecks and opportunities for optimization, and estimates their impact. It involves reviewing and refining the structure and behaviour of the process.
The outcome is a detailed process map in BPMN, along with a report that describes findings, provides optimization recommendations, and estimates the expected value.
For the processes that require regular monitoring and near real-time management, Process Mining can be implemented in the IT landscape (both on-premises and cloud). This integration enables:
- Regular updates for the dashboards and reports with key metrics
- Monitoring process changes to ensure continuous improvement
- Configuring alerts or predictions for prompt actions
Implementation project includes Process mining system configuration, integrations with source systems, process discovery and analysis, ETL and Dashboards development and triggers and automated actions configuration.
Process mining Center of Excellence (CoE) — a team that drives process mining expertise, leads initiatives, and champions data-driven process improvements across the organization.
We help you:
- Train CoE and business teams on process mining methodology and tools;
- Develop roadmaps and strengthen existing CoE capabilities;
Discover our comprehensive approach to process mining support at
pi-hypercare.t1a.com
Task Mining is a set of techniques involving capturing and analyzing user interaction data with software applications in order to understand and document the tasks performed by users.
The project begins by deploying software that captures user interactions in business applications, such as file transfers, copy-pasting, and mouse clicks. The captured data is analyzed to identify patterns, bottlenecks, and areas for improvement.
Task Mining synergizes well with Process Mining especially if digital footprints in IT systems don't suffice for the real process map.
Process or Task Mining adoption in the company starts from the identification of opportunities - Discovery phase.
The project contains a set of process definition workshops to assess and select suitable processes for Process or Task Mining. Typically these processes should have a significant impact on the company's performance or be prone to inefficiencies or errors.
Discovery project allows digital maturity assessment and the creation of the effort-impact matrix for future implementations.
Intelligent Document Processing (IDP) automates data extraction, classification, and processing from various document types using advanced technologies.
IDP enables businesses to:
- Classify documents based on content (e.g., invoices vs. purchase orders).
- Extract key details (e.g., names, dates, amounts) from invoices, contracts, and forms.
- Integrate data into workflows, enhancing efficiency and accuracy.
T1A PI team implements and customizes IDP solutions, seamlessly integrating them with enterprise systems. This ensures faster document handling, fewer errors, and streamlined operations.
Process Analysis uncovers the current state of a process, identifies bottlenecks and opportunities for optimization, and estimates their impact. It involves reviewing and refining the structure and behaviour of the process.
The outcome is a detailed process map in BPMN, along with a report that describes findings, provides optimization recommendations, and estimates the expected value.
For the processes that require regular monitoring and near real-time management, Process Mining can be implemented in the IT landscape (both on-premises and cloud). This integration enables:
- Regular updates for the dashboards and reports with key metrics
- Monitoring process changes to ensure continuous improvement
- Configuring alerts or predictions for prompt actions
Implementation project includes Process mining system configuration, integrations with source systems, process discovery and analysis, ETL and Dashboards development and triggers and automated actions configuration.
Process mining Center of Excellence (CoE) is a team that accumulates process mining expertise, leads process mining projects and promotes data-driven process improvements throughout the company. CoE setup & support projects include:
- Trainings for CoE & business roles, covering cover all stages of process mining projects, methodology best practices and software usage. We tailor the program to each client’s specific needs and goals based on our experience.
- Roadmap development and staff augmentation for existing CoE.
Task Mining is a set of techniques involving capturing and analyzing user interaction data with software applications in order to understand and document the tasks performed by users.
The project begins by deploying software that captures user interactions in business applications, such as file transfers, copy-pasting, and mouse clicks. The captured data is analyzed to identify patterns, bottlenecks, and areas for improvement.
Task Mining synergizes well with Process Mining especially if digital footprints in IT systems don't suffice for the real process map.
Process or Task Mining adoption in the company starts from the identification of opportunities - Discovery phase.
The project contains a set of process definition workshops to assess and select suitable processes for Process or Task Mining. Typically these processes should have a significant impact on the company's performance or be prone to inefficiencies or errors.
Discovery project allows digital maturity assessment and the creation of the effort-impact matrix for future implementations.
Intelligent Document Processing (IDP) automates data extraction, classification, and processing from various document types using advanced technologies.
IDP enables businesses to:
- Classify documents based on content (e.g., invoices vs. purchase orders).
- Extract key details (e.g., names, dates, amounts) from invoices, contracts, and forms.
- Integrate data into workflows, enhancing efficiency and accuracy.
T1A PI team implements and customizes IDP solutions, seamlessly integrating them with enterprise systems. This ensures faster document handling, fewer errors, and streamlined operations.
Process Mining can help to make different processes across the end-to-end supply chain more sustainable by:
Our expertise allows us to solve different tasks to improve business processes across finance, banking, and insurance, including:
• Optimizing complex financial processes, enhancing data processing and financial reporting. Use Cases: time reduction for report creation to regulators; increasing customer rating in trading operations.
• Increasing the banking operations efficiency, reducing the time for customer operations, and improving risk management. Use Cases: optimization of the account opening process, customer credits and credit recovery process; improving KYC and client onboarding experience.
• Enhancing the claim settlement processes, policy management, and personalization of offers. Use Cases: refining the claim management process and optimizing underwriting procedures.
Process Mining empowers manufacturing companies to make data-driven decisions, optimize their processes through the whole supply chain, and drive tangible business outcomes such as cost savings, quality improvement, increased productivity, and enhanced customer satisfaction. Process Mining has a strong synergy with Manufacturing Execution Systems (MES). Data from MES incorporates information related to production orders, machine utilization, material flow, and quality control.
Thus, Process Mining allows to analyze and improve:
In addition, Process Mining enables data-driven strategical planning via Simulations. This technique allows for experimentation with different parameters and configurations to improve efficiency. Changes can be implemented based on Simulations insights, and potential impacts can be predicted.
Process mining in supply chain management involves viewing the supply chain as a seamless, end-to-end process.
It focuses on strategically managing how each element influences the entire supply chain, enhancing efficiency and responsiveness. By analyzing interdependencies, organizations gain insights to create a streamlined and interconnected operational landscape.
Process Mining helps to optimize supply chain operations:
Our experience in Supply Chain includes cases in retail and pharmaceuticals.
Process Mining helps to optimize warehouse operations:
From the experience of our clients in FMCG area implementation of process mining based monitoring and continuous improvement leads up to 30% faster order picking in first 2-4 months.
