• blog-our-top5-favorite-data-quotes-from-2016
    • Blog

    Our top 5 favorite data quotes from 2016

    Pyramid Analytics shared inspirational quotes via social media throughout 2016. See which quotes were most favored.

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    Fantasy football: help your data find a voice with BI Office

    For this blog post, I will discuss my methodology for creating a narrative by focusing on the three storyboards I built to help manage my fantasy football team. I followed a 5-step process for storyboard creation: problem identification, storylining, connecting to data sources, adding views/interactions, and enhancement. I will dive into detail on each one of these steps.

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    Using performance analysis to determine how I dropped the ball

    I built a storyboard in BI Office to help me draft a winning fantasy football team. Unfortunately, my team hasn't done a whole lot of “winning" so far this season. While I would like to pin my team's woeful performance squarely on the shoulders of Lady Luck, in reality, it was my own doing: I spent more time tweaking my data reports than actually using those reports to make decisions. Find out what else I learned by using performance analysis to understand where I went wrong.

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  • blog-steps-challenge-winner
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    Who walked away with the Pyramid Analytics steps challenge?

    Pyramid Analytics completed a month-long steps challenge and used BI Office to find interesting facts and fun data visualizations.

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    Tackling bye weeks and injuries with our BI Office storyboards

    Bye weeks and injuries are perhaps the most difficult challenges a fantasy football owner faces during the regular season. With that in mind, I created a storyboard in BI Office with the express purpose of helping me navigate bye weeks and injuries. My goal was to create a tool that would a) enable me to rapidly identify players who are injured or about to go on bye and b) efficiently identify the best free agents available to replace those players.

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    Pyramid Analytics embarks on a company-wide #stepschallenge

    Pyramid Analytics is embarking on a month-long company steps challenge. Putting each person’s data into BI Office will result in fun data visualizations and friendly competition.

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  • blog-ff-using-on-the-fly-data-modeling-to-draft
    • Blog

    Using on-the-fly data modeling to draft the optimal fantasy football team

    Fantasy football drafts are a tricky business. Fantasy team owners must make split-second decisions about which available player will give their team the best chance to win the title, and at the end of the day, those choices are driven by data.

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    Fantasy football 2016 - building a data-driven draft

    Like most businesses, fantasy football coaches are drowning in data. They show up to their draft after countless hours of research with the “perfect” list of players ranked by scoring projection, mock draft ranking, and personal preferences. Other coaches show up similarly armed. They draft as close to their script as they can, then spend the season convinced they made the best decision they could, based on the data available. However, many coaches are using the right data in the wrong way.

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    Unlocking insights from healthcare data

    Most healthcare providers are used to practicing medicine, not analyzing massive amounts of disconnected data from clinical and operations systems. Yet in today’s workplace, more people are having to become analysts of sorts. Learn more about how we can help you turn decisions into evidence-based decisions in the new digital landscape of healthcare.

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    How healthcare data analytics can help you thrive in the new digital landscape

    The digital transformation of healthcare presents huge, strategic opportunities to your organization. As the number of patients seeking care continues to rise, so does the need to provide a higher level of care, while reducing costs, and meeting regulatory and compliance requirements. Learn more about using data analytics to deliver in all these areas.

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Volkswagen Group Ireland strategically steers success

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