In Scope-Based projects, we iteratively define milestones, progressively planning new ones upon completing the previous ones. This streamlines estimations and project management while offering customers flexibility over features and control over the scope and budget. Payments are made upon milestone approval, with charges based on hours spent or predefined estimates.
The Scope-Based model excels in large-scale projects, fitting seamlessly into the incremental development of complex solutions and aligning effectively with agile processes
In fixed-price projects, we agree on predetermined costs, project scope, and deadlines from the outset, without room for alterations post-signing. A clear understanding of the final service is crucial upfront. Additional features or changes require separate negotiations for pricing, scope of work, and timelines.
This type of engagement works well for smaller projects and MVPs when it is possible to accurately define all the requirements and plan the work thoroughly before commencement
Under a time and material contract, clients are invoiced based on the actual time consultants spend on the project. Payments, typically at the end of a month or another predetermined period, are calculated using daily or hourly rates. T&M contracts provide the customers with the liberty to modify the project scope and requirements during development.
This flexibility is very advantageous in projects where accurately defining the scope and predicting all factors from the very beginning is not feasible
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 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 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.
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 can help to make different processes across the end-to-end supply chain more sustainable by:
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.
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.
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 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 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.
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 can help to make different processes across the end-to-end supply chain more sustainable by:
