Data Science & Advanced Analytics

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  • 1.  Data Analytics for Benchmarking

    Posted 28 days ago

    I'm looking into improving my benchmarking process by working through RP 114R-20: Project Historical Database Development and RP 110R-20: Cost Estimate Validation. Is historical database development or querying and manipulating historical data in the scope of the Data Science & Analytics group? Has anyone looked into new tools for this? Interested in hearing for anyone who has so I'm not reinventing the wheel.



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    Craig Stadnyk
    Scheduler
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  • 2.  RE: Data Analytics for Benchmarking

    Posted 27 days ago

    Craig

    I may be able to assist having worked in the project history database for a few decades. 

    1. Are you seeking to buy or build a solution?
    2. Is the solution intended for end users or for a data analyst/scientist?

    Thanks



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    Nick Papadopoulos
    CEO
    Eos Group
    nickp@eosgroup.com
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  • 3.  RE: Data Analytics for Benchmarking

    Posted 24 days ago

    I'm interested in hearing if members think benchmarking & analyzing data from historical databases in something the Data Science & Advanced Analytics group should be looking into or if it's covered by another community. If it is the domain of another community, is there an aspect that would be part of this community such as using statistics or AI on the data.



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    Craig Stadnyk
    Scheduler
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  • 4.  RE: Data Analytics for Benchmarking

    Posted 24 days ago

    Thanks for the clarification. Ignore my questions. 

    Unless there's another community covering the 'benchmarking & analyzing data from historical databases' topic, I vote yes. 



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    Nick Papadopoulos
    CEO
    Eos Group
    nickp@eosgroup.com
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  • 5.  RE: Data Analytics for Benchmarking

    Posted 24 days ago

    RP 114R-20 has a good breakdown of database types I can reference. The end users being data analyst/scientist would apply to this community. Because I'm still in the building stage I think it would be beneficial to hear from anyone else who has been using a database, and how they are looking into new tools or techniques to get usable data and metrics out of it.



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    Craig Stadnyk
    Scheduler
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