Using powerful financial models and probabilistic techniques, Integral supports lifecycle cost estimating at both the project and portfolio level. Estimates can be used for environmental reserve setting or for communicating lifecycle costs to operational units and decision makers.
Integral develops unique prioritization tools that evaluate key site parameters such as cost, risk, and the potential to impact outcomes. These data empower clients to focus their resources more efficiently. Optimizing management efforts allows clients to achieve higher returns on their environmental expenditures.
Integral has a wealth of experience working with client teams to structure enterprise-wide project management processes. We offer Project Management Office consulting, process improvement, and change management support to create efficient, useful, and sustainable management practices.
Processes put in place to meet a specific need commonly evolve over time. As new information is incorporated, a relatively simple process may become unwieldy. Integral provides technical tools for process improvement and the skills to understand how employees interface with processes and the data they manage.
Integral assists in project management by developing and tracking integrated project plans. We are skilled in creating cost loaded, dynamic network schedules. Our tracking methods provide early notification of project variances, evaluate corrective actions, and contribute to on schedule, on budget completion. We use data from individual projects to create “dashboards” that provide at-a-glance performance information for environmental portfolios.
Cost schedule risk analysis is a method for evaluating potential cost and schedule variances by incorporating risks and uncertainties into an integrated framework. The results can be used for a variety of purposes, including budgeting, prioritizing risk mitigation and management techniques, and modifying contract terms and conditions to improve project planning and execution.
Quantitative decision analysis (QDA) is a structured approach for evaluating decisions with complex alternatives, uncertain outcomes, and competing objectives. QDA provides a systematic and transparent decision-making process that organizes client intuition and leverages subject matter expertise, revealing insights about cost and other risk drivers to assist decision making and add substantial business value.
Similar to QDA, the multi-criteria decision analysis (MCDA) process incorporates a powerful set of analytical tools that support a structured evaluation of alternatives. The difference is that MCDA goes beyond financial and risk considerations to include other stakeholder objectives and preferences, helping to identify the strategy that best meets overall objectives.
Used to evaluate the interactions of elaborate logistical and environmental systems, process simulation tests feasibility and expected outcomes. This approach also identifies methods for improving overall performance. Optimization techniques assist clients in maximizing revenue.
Successful business operations depend on efficient communication. Of particular importance is the synthesis of complex data in ways easily conveyed to various stakeholder groups. Integral brings expertise in data consolidation and analysis, as well as the skills and creativity to present complex information and communicate ideas.