The Optsee Optimizer™

What do you do at budget time when you have many worthwhile projects, but not enough money or resources or time to do them all? For example, suppose you have 20 worthy projects that would cost a total of $40 million and would require 30 full-time employees, but you only have a budget of $20 million and 22 full-time employees. And what if you want to have a minimum ROI of 15%? You know how difficult and time-consuming it is to manually do budget allocations in your company. In a 20 line-item budget, there are over 1 million possible portfolios. In a 30 line-item budget, there are over 1 billion possible portfolios! So how do you decide?

Trying to prioritize a dozens of projects simultaneously can quickly become a rat's nest of conflicting priorities, deadlines, and budget constraints. Competing agendas and objectives, poorly defined priorities, and insufficient metrics often lead to prioritization processes that take way too much time and end up with results that aren't even close to optimal.

The Optsee Optimizer™ can get this prioritization done in a fraction of the usual time and give you a rigorously optimized result. At the end of the process, you'll know exactly what your top priorities are and why. You'll be able to track your projects using high-level baselines, and you'll be able to react very quickly to changes.

The Optsee Optimizer™ uses a proprietary genetic algorithm to find an optimized set of choices that satisfies up to 6 different constraints, including minimum, maximum, and average constraints. The genetic algorithm allows the Optimizer to efficiently test millions or billions of possible combinations of choices, if necessary, to determine an optimized set that meets your constraints. You can also save the results of different optimizations to compare different constraint combinations.

For example, one of our pharmaceutical clients was trying to prioritize and manage more than 60 tech services projects from different departments such as Regulatory Affairs, Manufacturing, and Research and Development. His project lists changed daily (sometimes hourly!), and the departments often thought that their latest project should immediately become his top priority. So he and his staff were constantly fire-fighting, switching from one project to the next, and never certain that they were working on right set of projects for the business as a whole.

We have shown him how to prioritize and apply the right business metrics to his project list leading to optimized capital and resource allocation, transparent prioritization, and a much more productive organization.

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