Blogs
Learn from others to see how Analytica has helped organizations of all shapes and sizes gain valuable insights to make more informed decisions.
Select the categories below to see industry specific examples, different tools and methodologies, gain access to open-sourced models, learn about spreadsheet conversions, integrations, modeling tips and so much more!
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 ...
The basics of risk analysis in the enterprise
Risky business – bad news? Not necessarily. While the word risk has a negative connotation for some, it’s a source of business opportunity for others. Good risk analysis ...
The role of sensitivity analysis in energy & environmental modeling
Energy and environmental models are often complex. Sensitivity analysis is a natural choice to improve understanding of such models and to see which input parameters have ...
Data modeling 101
Think data modeling is just for the geeks? Think again! Even if deep down in the IT layers data models can make Egyptian hieroglyphs look like a Dr. Seuss book by comparison ...
Making management enthusiastic about decision support software
If extensions to your business modeling activities depend on convincing upper management of the utility of business decision support software, then a few ‘selling’ tips may help.
Operational risk scenario analysis & the bullwhip effect
If you’ve ever experienced a small change at the retailing end of a supply chain that provokes massive turbulence upstream, there’s a good chance you’ve suffered the bullwhip ...
Finding out what you don’t know with sensitivity analysis
Remember Donald Rumsfeld’s speech from 2007 on the things we know and the things we don’t? How about some uncertainty or importance analysis to go with that?
