Decision analysis & multi-criteria
Decision analysis is a set of methods to help people and organizations address challenging decisions more effectively than using simple intuition. It provides tools like decision trees and influence diagrams to help structure problems, multiattribute (multicriteria) methods to handle problems with several often conflicting objectives, quantifying attitudes towards risk, and ways of treating uncertainty using probability distributions.
Uncertainty analysis: are you sure about what you’re not sure about?
Tracking uncertainty in the input data in a model and showing how different degrees of such uncertainty affect the final result are strengths of Analytica. However, uncertainty ...
Decision analytics & feedback loops: the driver & the driven
Out of descriptive, predictive and decision analytics, decision analytics are squarely in the here and now. If you look at the Lumina analogy of driving a car, you’ll see several ...
Modeling software as a service (SaaS) & accounting for profitability
What should you expect in terms of profitability when modeling software as a service? Conventional business theory says an enterprise cannot be unprofitable over too long a time...
Data modeling without tears: perils & pitfalls to avoid
If a model is to yield a result, it needs data. Data are described by a data model, sometimes very simple (‘year’); sometimes more complex (energy consumption by type of energy, ...
Resource use analysis & modeling of recycling, waste prevention, & eco-design
Do we actively poison our environment? Some would say yes – that the substances we artificially produce are positively noxious, pointing to vehicle emissions and sewage as ...
Multi-attribute decision analysis & the fun of fuzzy
Between the fuzzy sets of Lotfi Asker Zadeh and the fuzzy math of George W. Bush, what precisely are the implications for multi-attribute decision analysis (MADA)? First of all, ...
