This book presents real-world decision support systems, i.e., systems
that have been running for some time and as such have been tested in
real environments and complex situations; the cases are from various
application domains and highlight the best practices in each stage of
the system's life cycle, from the initial requirements analysis and
design phases to the final stages of the project. Each chapter provides
decision-makers with recommendations and insights into lessons learned
so that failures can be avoided and successes repeated. For this reason
unsuccessful cases, which at some point of their life cycle were deemed
as failures for one reason or another, are also included. All decision
support systems are presented in a constructive, coherent and deductive
manner to enhance the learning effect.
It complements the many works that focus on theoretical aspects or
individual module design and development by offering 'good' and 'bad'
practices when developing and using decision support systems. Combining
high-quality research with real-world implementations, it is of interest
to researchers and professionals in industry alike.