The Analytics Breakdown: Blacklight Solutions to Mid-Market Problems Podcast Por Chance Coble arte de portada

The Analytics Breakdown: Blacklight Solutions to Mid-Market Problems

The Analytics Breakdown: Blacklight Solutions to Mid-Market Problems

De: Chance Coble
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Do you struggle with the nerdy things like dashboards, data science, machine learning, and advanced analytics? You know your business needs to leverage the evolving tech landscape, but don't know where to start? Well, you're in the right spot. Join Chance Coble from Blacklight Solutions as he breaks down the business analytics and data science problems that face the mid-market. New episodes every week.Chance Coble Economía
Episodios
  • Product Management - Why Mid-Market Companies Need It for Their Data
    Aug 10 2023

    Whether you are creating a software product or an analytical app, the importance of the product management role in a data rich software product can't be overstated. In this episode, Chance explores not only how this role can look in your organization but also 3 main things this person should do.

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    5 m
  • Getting Value from Dashboards
    Jun 20 2023

    In this episode, join Chance Coble as he explores the differences between people who get value out of their dashboard or BI tools and those who don't. After years in the business, he has noticed a pattern of three big challenges companies run into when undertaking these kinds of projects and has some solutions in mind.


    At the beginning of the episode Chance covers some recent news headlines:

    1. You can find survey results at slashdata.co

    2. US News article from June 5, 2023, "Cancer Vaccines Poised to Unlock 'New Treatment Paradigm' With Merck/Moderna Data"

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    9 m
  • Data Science in Your Dashboard Tools
    May 31 2023

    When Business Intelligence (BI) tools are at their best they don't just expose data, they answer questions, and that often requires machine learning models. This week's episode is all about using machine learning in your dashboarding tools. Machine learning can be a complicated and misunderstood topic -- so let's break it down.

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    7 m
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