PostHeaderIcon Bayesian analysis in disaster recovery planning and investment justification.

CTO John Bates discusses the science behind Bayesian analysis in disaster recovery planning and investment justification. Then Robin Harris gives a quick demo of the workflow of TwinStrata’s Clarity AP software. CAP allows you to model and compare business continuity and disaster recovery solutions using a vendor-specific component catalog. A StorageMojo Video White Paper.

Duration : 0:4:1


[youtube UzTlN5qwzco]

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3 Responses to “Bayesian analysis in disaster recovery planning and investment justification.”

  • eleanoquilly says:

    Nice try. Keep it …
    Nice try. Keep it up check out esteembpo + com for social media marketing. JU

  • jeffroughgarden says:

    I fully support …
    I fully support this sort of analysis; however, it does not seem to be particularly Bayesian in nature. I don’t see prior probabilites being updated into posterior probabilities as a result of intervening events. Rather, it looks like a standard decision analysis that uses industry-standard probabilites for disk and network failures. All that nit-picking being said, the product does look very useful for making informed decisions about disaster recovery. Just don’t mention probabilities to mgmt.

  • ryanb909 says:

    This looks like a …
    This looks like a very useful application. A product to quantify trade-offs in storage design would be a welcome addition to my tool-kit.

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