Lindsay Murphy

Lindsay Murphy

Head of Data at Secoda

    Lindsay Murphy is a data leader with 13 years of industry experience. She is the Head of Data at Secoda, a data management tool that helps data teams and business users search, discover, and document all company data knowledge. Before Secoda, Lindsay led data teams at Toronto startups Maple and BenchSci. As an active member of the data community, Lindsay is a co-organizer of the Toronto Modern Data Stack Meetup, an instructor of Advanced dbt with Uplimit, co-host of the community-focused conference MDS Fest, and the host of a weekly podcast called Women Lead Data.

    All Sessions by Lindsay Murphy

    Day 3 04/25/2024
    2:20 pm - 2:50 pm

    Cost Containment A Critical Piece of your Data Team's ROI

    <span class="etn-schedule-location"> <span class="firstfocus">MLOps</span> </span>

    Data teams spend a lot of time measuring and optimizing the effectiveness of other teams. Unfortunately, we're not so great at doing this for ourselves. In this talk, we will dive into a big blind spot that a lot of data teams operate with–not knowing how much they are costing their business (now and in the future). Given how easy it is to rack up expensive bills in pay-as-you-go tools across data stacks, this can become a big problem for data teams, very fast. We'll discuss tactical methods for building cost monitoring metrics and reporting (and why you should make this a priority), some of the challenges you will face along the way, and suggest ways to implement cost containment best practices into your workflows to drive cost accountability across your data team and company.

    Day 3 04/25/2024
    2:20 pm - 2:50 pm

    Cost Containment A Critical Piece of your Data Team's ROI

    <span class="etn-schedule-location"> <span class="firstfocus">MLOps</span> </span>

    Data teams spend a lot of time measuring and optimizing the effectiveness of other teams. Unfortunately, we're not so great at doing this for ourselves. In this talk, we will dive into a big blind spot that a lot of data teams operate with–not knowing how much they are costing their business (now and in the future). Given how easy it is to rack up expensive bills in pay-as-you-go tools across data stacks, this can become a big problem for data teams, very fast. We'll discuss tactical methods for building cost monitoring metrics and reporting (and why you should make this a priority), some of the challenges you will face along the way, and suggest ways to implement cost containment best practices into your workflows to drive cost accountability across your data team and company.

    Open Data Science

     

     

     

    Open Data Science
    One Broadway
    Cambridge, MA 02142
    info@odsc.com

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