Slicing and dicing data for insights and conclusions is all part of the decision support process. But decision support systems themselves can be sliced and diced to segment them …
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Past Blogs & Case Studies by Category
Energy & Power
Enviornment & Climate
Water & Ocean Resources
Risk & Uncertainty
Transportation & Manufacturing
Defence & Security
Academic Research
Lumina Consulting Firms
Category Posts
Decision support systems: an extended taxonomy
When multi-attribute decision analysis needs Monte Carlo
Multi-attribute decision analysis (MADA) is by definition a complex matter. Trying to balance or optimize a number of criteria at the same time in order to make a decision is …
Overcoming data paralysis with decision support
Paralysis by data analysis is a common ailment in organizations, and it’s probably going to get worse. The more data available, the greater the temptation to examine, twist and tweak.
Balanced scorecard, meet decision analytics!
If you’ve used the balanced scorecard approach before, you’ll know that it extends the older concept of purely financial measures of a company’s performance.
How a good model could save your organization
Sometimes it’s one big thing that sinks a company. Gerald Ratner, former chief executive of the British Ratners Group, a leading jewelry company, came close. With one speech, …
Estimating risk: the importance of scenario analysis
Learn the importance of scenario analysis in estimating risk. Discover strategies to improve risk assessment and decision-making with expert insights.
The rise of decision analytics
Where did decision analytics come from? And where is it headed in the future? The term decision analysis was coined by Ronald A. Howard, Professor of Management Science and …
The art & science of business intelligence
It’s the title of a book. But is it also a deeper observation about what it takes to put good business intelligence in place? Behind this apparently innocuous catch-all pairing …