BalanceTech, LLC
BalanceTech, LLC (Balance) was created to develop real world applications of the research
work of Dr. John S. Anderson. Our primary goal is to provide automated tools and support
which facilitate and improve the decision making process. Research suggests humans can
only process about seven pieces of information at a time. Yet we often make decisions
which involve many more than seven criteria and alternatives. To help decision makers get
a balanced view of a decision, the criteria and the alternatives, John developed an
automated decision matrix.
Automation of the decision process and the matrix have proven useful in many settings.
Different versions of the software have been and are being developed in the fields of
resource management, environmental planning, land-use planning and fire management.
Balance is committed to providing powerful yet easy-to-use decision management tools to
address the needs of our customers.
Dr. John S. Anderson
John received a Ph.D. in Computer and Information Science from the University of Oregon
and a B.S. in Electrical Engineering from Montana State University. He has spent
approximately 15 years researching ways to organize and automate planning, design and
decision making processes. He would like to help decision makers get a balanced view of a
decision. In addition to his work with decision making, he has experience in automating
collection of data in the field, data base development and programming in multi-media
environments.
Susan Anderson
Sue received a BA in Business Administration from the University of Montana and an MBA
from the University of Oregon. Sue holds a CPA license. She practiced public accounting
for four years and has been teaching accounting, business management and environmental
issues in business courses for the last 9 years. While having a great respect for costs
and figures that are easily expressed in numeric terms, Sue realizes that most difficult
decisions include a qualitative component. She believes that this qualitative component
needs to be expressed in some way that is meaningful to decision makers and allows it to
be considered side by side with the quantitative information.
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