Predictive Modeling

The problem

Traditional conceptual estimating tools are ineffective in predicting outcomes – especially during the planning stages when the highest impact decisions are made. This is because these tools have no knowledge of the inputs (causes) that determine outcomes. The primary inputs include the facility’s functions (i.e. operating rooms, patient beds, classrooms). Other causes include constraints (location, floor count, owner type, etc.), demands (climate, earthquake, security threat, etc.) and standards (design quality, durability, energy, etc.). The obvious question that begs an answer:

How can a project be effectively modeled, measured and, therefore, improved without properly accounting for the causes that determine outcomes? 

A Solution

Building Catalyst enables more reliable  conceptual estimating  starting in the early planning stages, and continuing through the design phases. There are two reasons for this. The first is that it focuses on a tights system of critical data defining the projects causes (inputs) that impact outcomes (effects). The second reason is that Catalyst predictions are knowledge-based. This knowledge basis is achieved through validation and calibration from real world project experience and/or other valid published standards.  The following seven minute video is a live cost model illustration for a hypothetical 22 bed critical access hospital.