Author: Dan Wilmot

Dan Wilmot

Biography

Author: Dan Wilmot Job Title: Sr Architect at Pyramid Analytics |

Dan Wilmot has worked in the Business Intelligence industry for 15 years at ProClarity, Microsoft, and Pyramid Analytics, and has been an avid Fantasy Football player for 20 years.


Fantasy Football: Help Your Data Find a Voice with BI Office

Fantasy Football: Help Your Data Find a Voice with BI Office

Author: Dan Wilmot , Tags: Fantasy Football, BI Office, Predictive Analysis |Category: BI Office Features | Published: 1/3/2017

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

Using Performance Analysis to Determine How I Dropped the Ball

Author: Dan Wilmot , Tags: fantasy football, BI Office, predictive analysis |Category: BI Office Features | Published: 12/12/2016

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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Tackling Bye Weeks and Injuries with our BI Office Storyboards

Tackling Bye Weeks and Injuries with our BI Office Storyboards

Author: Dan Wilmot , Tags: Fantasy Football 2016, data-driven, draft strategy, data analytics |Category: Fantasy Football, BI Office | Published: 11/28/2016

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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Using On-The-Fly Data Modeling to Draft the Optimal Fantasy Football Team

Using On-The-Fly Data Modeling to Draft the Optimal Fantasy Football Team

Author: Dan Wilmot , Tags: Fantasy Football 2016, data-driven, draft strategy, data analytics |Category: BI Office, Fantasy Football | Published: 9/19/2016

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

Fantasy Football 2016 - Building a Data-Driven Draft

Author: Dan Wilmot , Tags: Fantasy Football 2016, data-driven, draft strategy, data analytics |Category: BI Office, Fantasy Football | Published: 8/31/2016

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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