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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!

Data center capacity planning & modeling

What goes around comes around. Do you know how old virtualization is really? Although it’s a buzzword today thanks to the rapid growth of cloud computing and vendors ...

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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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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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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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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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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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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.

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Monte carlo simulation

Monte Carlo simulation tips & tricks

Get expert advice and practical guidance in using Monte Carlo simulation to improve modeling accuracy and efficiency.

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