Business & finance
Find models that represent the various aspects of a business, such as its operations, marketing, and sales. Financial modeling involves using historical financial data and other relevant information to create projections of future financial performance, such as revenue, expenses, profits, and cash flow.
These analyses can help you plan for the future, make investment decisions, evaluate the impact of different business scenarios, understand how different factors affect overall performance, and identify areas where you can improve efficiency and profitability for yourself or your organization.
Operations management practice: between supply chain & value chain
Is there anything in a business that is not covered by operations management practice? By definition, all of an enterprise’s internal processes are included: supply chain for ...
OR analysis & the role of heuristics
Operational research (OR) analysis is all about modeling operational situations and problems with math, logic and scientific theory – or is it? Despite the common perception of ...
Standard deviation, sporting predictions & investments
Fancy a flutter? Actually, ‘flutters’, hunches’ and similar notions related to un-quantified intuition are avoided by many sports betting experts. They prefer a more analytical ...
Using operations research for “look-ahead” inventory policies
How much inventory is held in the United States? If you count finished goods, partially finished goods and the raw materials needed to make those goods, there is over $4,000 of ...
How business intelligence (BI) helps you avoid delay & boost results
Perception is not always reality. When business intelligence is often perceived by users as a ready-to-use window on their PC screen that will answer all their questions, ...
Experimenting with business analytics
How do you see the business analytics trio of descriptive, predictive and decision analytics? If you see these activities as mechanical IT processes, you may well head off into ...
Decision support systems: an extended taxonomy
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 ...
