Business impact analysis (BIA) is a stage in the disaster recovery planning process, in which organizations seek to prepare for business interruptions with a plan to surmount …
sean.s
Sean Salleh is a data scientist experienced in guiding marketing strategy, forecasting models, scenario planning models, and algorithms. He has a master's degree in Operations Research from University of California Irvine and Mathematics from Northeastern University.
Author Posts
Business impact analysis for disaster recovery planning & beyond
Influence diagrams and a Darwinian take on decision support graphics
Like biological species, the graphics used in decision support have a story to tell of origins, evolution and even a few missing links. Influence diagrams represent one of the …
Enterprise risk management & handling concentration risk
Concentration risk is a term that is used frequently in financial institutions to describe a risk that is significantly greater than others; for example, lending a high amount of …
Business modeling: keeping up with a moving target
Tomorrow, today’s business model will be yesterday’s. Behind that self-evident observation lies an uncomfortable fact. The rate of change of such models has accelerated over …
Business modeling: the sandbox theory & cybernetics
In IT, the term ‘sandbox’ is used to denote a computing environment specifically designed for experimentation or test of a program, without the risk of malfunction then affecting …
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 …
Green decision analysis in manufacturing
At one time, manufacturing relied totally on deterministic decision analysis. Neither the PC nor Monte Carlo methods had been invented, but manufacturing decision processes were …