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Author: Sean Salleh

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Sean Salleh is a data scientist with experience in guiding marketing strategy from building marketing mix models, forecasting models, scenario planning models, and algorithms. He is passionate about consumer technologies and resource management. He has master's degrees in Operations Research from University of California Irvine and Mathematics from Northeastern University.

Author Posts

07/05/2013 | Blogs, Business & finance

Modeling software as a service (SaaS) for revenue projections

‘Cloudify’ – a new verb in the English language signifying to design or adapt a resource or a process for operation in the cloud. See also cloudification (design, adaptation, modeling software for the cloud).

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07/04/2013 | Blogs, Business & finance

Prescriptive analytics & social network marketing

Are prescriptive analytics ‘the Final Frontier’ of analytics? This apparently is how market research firm Gartner sees this area, melding this third phase of business analytics …

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07/03/2013 | Blogs, Business & finance, Environment & climate

Green decision analysis & the long tailpipe

Going green is held to be ecologically sound and financially advantageous; and in many cases, it is. In many cases however, it’s also a decision involving a number of …

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07/02/2013 | Blogs, Business & finance, Decision analysis & multi-criteria, Portfolio management, Risk & uncertainty

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, …

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07/01/2013 | Blogs, Business & finance

Business impact analysis for business continuity for IT systems

It’s a tough job, but somebody has to do it. Understanding the business consequences of IT failure (or, let’s be positive, IT success) on business is essential in order to plan …

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06/28/2013 | Blogs, Decision analysis & multi-criteria, Risk & uncertainty

Estimating risk: the importance of scenario analysis

Scenario analysis is all about alternative worlds and parallel universes and may include black swans, but stops short of meteor strikes. Confused? Read on and we’ll find out what’s going on together. The name itself is a good place to start. Our aim is to evaluate risk for a particular plan of action according to different scenarios or situations that could arise as our plan unfolds. A key point to remember is that scenario analysis like this is not dependent on past results (in other words, it is not a prognosis); although some people use measures like the standard deviation of past results to provide a framework within which to construct plausible future scenarios.

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06/28/2013 | Blogs, Modeling tips & tricks, Risk & uncertainty

Monte Carlo simulation tips & tricks

The use of random numbers as input is a defining feature of Monte Carlo simulations. This is what turns a deterministic model into a stochastic one, although how those …

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06/26/2013 | Blogs

Applying predictive analytics in enterprise decision making

You’d be surprised at some of the uses that companies make of predictive analytics – and perhaps at the kind of companies making them. Identifying soon to be pregnant women, …

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