Our approach
To transition your organization to a highly efficient, data-driven entity, Buro Matei offers a phased approach.
- We begin with Phase 0, during which we assess your organization’s readiness and formulate a plan for subsequent phases.
- With Phase 0, you will have a detailed plan, and details for your return on investment decision.
- Once we start with the transformation, it is crucial that we first focus on developing or enhancing the data foundation in Phase 1.
- Subsequently, in Phases 2 through 5, we can gradually introduce more advanced data-driven tools and project execution techniques.
Phase 0: Strategy & Planning
We commence with an in-depth organizational assessment, cultivating a tailored data-driven plan. This phase is pivotal in setting the tone, identifying tools and improvements, and creating awareness within the organization about the forthcoming transformation.
Phase 1: Building the Data Foundation
Building on the foundation laid, this phase focuses on the creation of a robust data infrastructure. We put into place data standards, libraries, collaboration systems, and ensure a seamless integration of these tools to foster a data-driven culture.
1.1 Central Data Infrastructure Development
Implementing and configuring selected platforms, tools, and systems in harmony with the Data Infrastructure Design, and creating an initial structure for a central database system that aptly meets organizational needs. Alongside the development and implementation, tailored training sessions are provided, equipping the organization's staff with essential skills to adeptly operate and maintain the newly implemented data infrastructure, ensuring consistent, and effective usage throughout the business operations.
1.2 Data Standardization Needs
Reviewing and identifying gaps or improvement areas in the organization's current data practices, determining and prioritizing vital data standards to implement, considering organizational goals and unique needs. Additionally, researching industry best practices for data standards to ensure strategic alignment and developing a comprehensive plan for implementing identified data standards, inclusive of timelines, resources, and anticipated outcomes. The offering is rounded out with robust training and support for staff to facilitate smooth adoption and consistent adherence to new data standards.
1.3 Collaboration System Development
Evaluating the organization's needs and requirements for a user data entry and collaboration system, ensuring harmony with the Central Data System, and constructing a tailored User Data Collaboration System to meet specific organizational needs while safeguarding data quality and integrity. This involves designing a user-friendly and intuitive interface to facilitate easy use and diminish errors during data entry and sharing, developing thorough documentation and templates to guide optimal system use, and conducting training sessions to equip staff with the requisite skills and knowledge for effective use of the User Data Collaboration System.
1.4 Reference Data Library (RDL)
Aligning the Reference Data Library with selected data standards, gathering, and curating relevant reference data tailored to the organization's needs. This includes integrating the Reference Data Library into the User Data Collaboration System and Central Data System, ensuring seamless data access and utilization. Additionally, training sessions are conducted to acquaint staff with the RDL, facilitating its proper usage within the organizational context and ensuring optimized data management and access across all relevant systems.
1.5 Data Migration
Evaluating existing data, a meticulous strategy is devised for its migration, which includes determining which data to migrate and planning for the process through a detailed strategy that encompasses steps, resources, and timelines. The selected data undergoes meticulous mapping and transformation to align with established standards and the new Central Data System. Simultaneously, stringent quality assurance practices are enacted to validate the migrated data for accuracy and consistency. Comprehensive documentation and guidelines are crafted, and training sessions are executed to familiarize staff with the migration process, the new data, and the freshly implemented infrastructure, ensuring a seamless organizational transition.
1.6 System Integration
Initiating with a thorough evaluation of existing systems, potential adjustments are identified to align them for seamless integration with the Central Data System. A bespoke integration strategy is devised to connect the Central Data System with current systems, ensuring smooth data exchange and interoperability. Additional evaluations are undertaken for legacy systems to ascertain requisite modifications for successful integration. Detailed planning outlines necessary data transformations, enabling efficient data flow amongst systems. Integration testing and validation ascertain reliable data exchange and seamless interoperability, while staff training ensures familiarity with the integrated data landscape and a smooth organizational transition.
Phase 2: Increase Efficiency by reducing Waste
The primary aim here is optimization. By developing actionable tools and dashboards, we streamline processes to reduce inefficiencies. This phase marks the beginning of realizing the tangible benefits of data-driven operations.
2.1 Work Breakdown Structure (WBS)
Implementing a tailored Work Breakdown Structure (WBS) standard, we develop and integrate a system to manage WBS data across projects, enhance dashboards for focused insights, and provide documentation and training to ensure optimal utilization and understanding of WBS throughout the organization.
2.2 Level of Development (LOD)
Establishing and recommending Level of Development standards, developing a dedicated system and adjusting dashboards to manage and display LOD definitions efficiently. Developing documentation and operating procedures, managing LOD application at the onset or during projects, and facilitating training sessions to explain the LOD concept and its advantages in managing projects effectively.
2.3 Value Stream Mapping
Developing systems for efficient input and analysis of project workflows in terms of Value Streams. This package offers dynamic dashboards for clear visualization and area improvement identification. Additionally, multidisciplinary workshops and training sessions are provided, focusing on defining, optimizing, and understanding the Value Stream as optimized workflow and its pivotal role in effective project management.
2.4 Review Process
Developing and optimizing review processes, including identifying areas for enhancement in model design reviews, and establishing thorough documentation and procedures. A dedicated dashboard system is implemented for real-time visualization and analysis of review readiness and outcomes. The process encompasses managing the application of the optimized review during projects and providing in-depth training to ensure an understanding and beneficial integration into project management.
2.5 Progress and Readiness Assessment
Customizing data entry systems for efficient progress recording and developing clear guidelines for accurate status updates. Ensuring consistent data capture of activity progress during projects and offering training sessions to educate users on the effective use of recording tools and systems, aiming to streamline and inform project management.
2.6 Automated Work Packaging (AWP+)
Establishing an organization-specific Automated Work Packaging (AWP+) standard, which aligns with the Work Breakdown Structure (WBS) and construction schedule, and developing a system for entering and integrating AWP data across various project management systems. This also involves ensuring smooth data integration between the WBS, AWP, and other pertinent systems, supplemented with providing training sessions to elucidate the AWP concept and its substantial benefits in project management.
Phase 3: Increase Reliability by reducing Risks
Active risk management comes to the forefront. With an emphasis on quality control, change management, and efficient supply chain processes, this phase ensures that potential pitfalls are identified and mitigated early.
3.1 Coordination and Alignment
Enhancing project communication and unity through the development and implementation of construction and user requirements strategies and systems, alongside comprehensive training, to ensure project decisions and methodologies are consistently aligned with constructability, modular, and user operation/maintenance requirements, all while managing the meticulous implementation of processes, facilitating informative alignment meetings, and providing clear procedural documentation and multilateral training, thus fortifying overall project cohesion and understanding among stakeholders.
3.2 Quality Management
Steering quality management by formulating and implementing strategic quality requirements, developing review and metrics dashboards, ensuring software compatibility, and fostering a culture of continuous improvement and learning through specialized training and quality improvement systems, all while proficiently overseeing the adherence to quality standards throughout projects.
3.3 Project Control
Strategizing and implementing robust control mechanisms for various project facets, namely schedules, material costs/quantities, and effort hours. Initiatives encompass developing control strategies, executing dedicated training, formulating documentation & procedures, and devising data systems and dashboards for transparent visualization and reporting of status. Ensuring an enhancement in project management through comprehensive training sessions, detailed documentation, and hands-on training for using the control dashboards and tools, facilitating the precise tracking and management of schedule, material, and labor metrics.
3.4 Change Management
Focusing on effective navigation through project changes, offerings in this segment encompass developing and implementing strategies for managing changes, design freezes, and choosing between cost-structuring approaches. It includes creating detailed documentation, data systems, and developing dashboards for insightful tracking and management of changes. Additionally, specialized training sessions are provided, enhancing the team's proficiency in managing alterations, understanding cost structures, and utilizing developed tools efficiently.
3.5 Proposals and Estimates
Crafting and implementing comprehensive strategies for project definition, planning, risk assessment, and budgeting during the proposal and planning stages, developing and integrating systems and dashboards to streamline data visualization and decision-making in these areas, while also providing thorough training to enhance proficiency in using these tools and implementing the devised strategies, thereby refining scope, deliverables, estimates, schedules, and risk and budget management in proposal preparation and project execution.
3.6 Supply Chain Management
Developing and executing cohesive strategies for procurement and subcontracting to optimize supply chain management, establishing robust data documentation systems and creating insightful dashboards for both pre-award and post-award stages to facilitate data-driven decision-making, while also providing comprehensive training and support through each stage to ensure proficient understanding and management of processes, thereby enhancing vendor, supplier, and subcontractor coordination, and ensuring effective management from strategy creation to project execution.
Phase 4: Increase Productivity by Automation
Efficiency and effectiveness are taken to the next level through extensive automation. This encompasses reporting, quality control, design optimization, planning, and forecasting, further elevating the strategic value of our solutions.
4.1 Reporting Automation
Developing and implementing automated reporting solutions to efficiently generate various project-related reports, creating user-friendly dashboards for on-demand reporting, planning and executing strategy for its implementation, providing pertinent training, and ensuring system optimization through rigorous testing.
4.2 Quality Control Automation
Developing and implementing automated solutions for comprehensive quality checks in 3D model designs, creating dashboards to facilitate streamlined quality control, strategically planning and overseeing the application of automation rules, offering specialized training on system usage, and conducting thorough testing to assure optimal operation and effectiveness.
4.3 Design Automation
Developing and implementing solutions for automating parametric design tasks, extracting 2D drawings from 3D models, and generating material take-offs, coupled with strategic planning and management of implementation, providing comprehensive training, ensuring system efficacy through rigorous testing, and developing custom dashboards for effective management and oversight of the design automation system.
4.4 Optimization Automation
Developing and deploying automation solutions for optimal routing of pipes, cables, and traffic, as well as optimizing room/equipment locations and structural elements, accompanied by careful strategic planning, management of implementation, extensive training, thorough testing for operational assurance, and the creation of tailored dashboards for streamlined management and oversight of the optimization automation system.
4.5 Planning Automation
Implementing automated solutions to accurately forecast project scope, quantities, budget, and schedules, while seamlessly managing strategic planning, system implementation, user training, solution testing, and custom dashboard development to ensure a streamlined, efficient, and managed application of planning automation throughout the project lifecycle.
4.6 Forecast Automation
Streamlining project execution by developing and implementing automatic re-forecasting solutions for vital project aspects including effort hours, scope, quantities, budget, schedules, and change orders, while expertly managing strategic planning, solution implementation, training, efficacy testing, and dashboard development to ensure optimal, continuously monitored operation of the forecast automation system.
Phase 5: Next-Gen Integration and Automation
The final phase pushes the boundaries of innovation. By integrating cutting-edge solutions like Digital Twin technology, construction automation, and augmented design, we set the stage for the future of engineering and project management, ensuring our clients stay ahead of the curve.
Digital Twin & CFIHOS
Developing and integrating CFIHOS and Digital Twin technologies for unified asset data and real-time tracking, managing their implementation, and providing usage training and custom dashboard development.
Construction Automation
Developing and implementing 3D printing, unmanned excavation, and drone inspection solutions for enhanced fabrication, speedy site preparation, and thorough project monitoring, respectively, while managing the integration of these automation technologies, providing related training, ensuring their ongoing maintenance, and developing customized dashboards for efficient management and monitoring.
Augmented Design and Engineering
Integrating machine learning and developing dynamic, data-informed design processes, managing the implementation and ensuring functionality of the augmented design and engineering system, providing user training, conducting system testing, and building customized dashboards for continuous management and monitoring.
Augmented Project Management
Implementing advanced analytics and machine learning in project management, overseeing augmented methodologies' application, providing relevant training, testing for efficacy, and developing custom dashboards for streamlined management and reporting.
Augmented Quality Control and Assurance
Enhancing quality control through the development, implementation, and management of machine learning solutions, supported by strategic training, meticulous testing, and customized dashboards for effective operational tracking and management.
Augmented Forecasting and Estimating
Developing and implementing machine learning solutions for advanced what-if scenarios to optimize project predictions, managing the integration and application of augmented forecasting and estimating throughout projects, conducting training for project management teams, ensuring operational effectiveness through thorough testing, and developing custom dashboards for proficient tracking, management, and reporting of forecasting and estimating activities.
Our services
Ready to innovate your industry?
Matei’s contributions to the team and company, especially in data integration and digital transformation, have been invaluable. As an EPC Engineering Specialist, Matei played a crucial role in reshaping data-driven EPC project execution, making complex concepts accessible with his positive attitude and inspiring work ethic.
Matei’s contributions to the team and company, especially in data integration and digital transformation, have been invaluable. As an EPC Engineering Specialist, Matei played a crucial role in reshaping data-driven EPC project execution, making complex concepts accessible with his positive attitude and inspiring work ethic.
Matei has introduced innovative approaches to the DL E&C Plant Division and led the development of a new engineering and project management system that had never been experienced before.
Matei’s exceptional communication skills and mastery in data-driven project management made complex topics captivating and easily understandable for everyone.
