Decision Making Advisory
Since decisions must be made within a constrained environment, the major challenge of decision making is uncertainty, and a major goal of decision analysis is to reduce uncertainty and find the best alternative for the given decision.
Benefits in properly formulating and modeling a decision include:
- High integrity, speedier, more justifiable decisions;
- Decision are aligned to the company or personal strategy and preferences of individuals in each of their representative positions;
- Organizational and strategic alignment is achieved.
- Consensus and improved communication is achieved across the company;
- An overall improved bottom line
Decision analysis is performed with decision support software applications. The software application allows for an intuitive and structure approach for you and your team to:
- Facilitate identification of your objectives
- Facilitate identification of a full range of alternative solutions
- Evaluate key trade-offs among your objectives and alternatives
- Walk away with a decision that is fully understood and supported by your team.
Using the world’s most popular decision-making method, it adapts to your decision-making style and situation through a flexible, model structuring interface. You can choose to build your decision model from a top-down perspective, that starts by helping you to gain a deep understanding of your goals and objectives.
You can also use a bottom-up approach to leverage your expertise by using the application and guided facilitation to list the pros and cons of your decision alternatives, and then use patented technology to easily transform these pros and cons into identifiable and quantifiable decision objectives and goals.
The patented and proven method works by guiding decision-makers through a series of pairwise comparisons to derive priorities for decision objectives and options. You can incorporate any type of quantitative and qualitative performance data into your decision-making process. Data conversion utilities can convert raw performance data about your alternatives to priorities. The benefit is that the organization can leverage large amounts of data along with judgments and intuition to make more informed decisions.
The decision modelling process allows you combine and synthesize the judgments of any subset of decision-makers or the entire group to provide the full spectrum of different perceptions of a problem.
There are five sensitivity (what-if) graphs that dynamically test scenarios to see how changing the weight of an objective affects a outcome of the decision. Reporting and notes features let you document your results by allowing you to link or embed any type of supporting quantitative or qualitative information.
Empirical evidence demonstrates that following a well structured decision making process will certainly reduce the time (as much as 80%) taken on a complex decision and radically improve the accuracy of the decision. Thus minimizing the risk of the wrong decision.
Our senior advisor’s and analysts are PhD’s with years of experience in facilitating high-level decision- support meetings. They are experts in structuring complex decision models with organizational leaders.