In this special guest feature, Dan Wilmot, Sr. Architect at Pyramid Analytics, explores how to unlock opportunities previously hidden within the depths Fantasy Football data.
If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.
In this special guest feature, Mark Robinson, CEO of deltaDNA, looks at the challenges solved by big data in the games industry and the evolution of analytics which has enabled these changes.
In the video presentation below from Spark Summit East 2016 conference, Viacom, the global media company, explains how they are using Apache Spark and Databricks to quickly adapt to their audience by building a just-in-time data warehouse.
In the video presentation below, Jenn Webb, Managing Editor at Radar, interviews John Carnahan who serves as Executive Vice President of Data Science at Ticketmaster.
I recently caught up with Valery Bollier, Founder and CEO of Daily Fantasy Sports (DFS) Game Oulala, to discuss the big data revolution and fantasy sports. The iGaming industry is seldom linked with big data and data science, however Valéry Bollier chooses to contest this notion. He fleshes out the various do’s and don’ts of building a fantasy soccer game such as Oulala.
As insideBIGDATA’s visualization of the week, here’s a look at the 2016 Oscar Nominees for Best Picture. Using Tableau Public, data author Andy Rudd provides a useful data visualization that ranks the movies by IMDB score and total nominations.
SOASTA, a leader in performance analytics, unveiled the results of its 2016 Super Bowl Second Screen Survey¹, examining online and mobile habits and preferences of Americans watching this year’s Super Bowl, as well as their thoughts on which professional football playoff team has the most obnoxious fans.
In the contributed article below, Isabelle Nuage, Director of Product Marketing at Talend highlights how big data will impact the super bowl.
Leading up to and during Super Bowl 50, KPI dashboards leader Geckoboard has put together a compelling game analytics site HERE. The metrics include social sentiment analysis, daily social mentions for each QB and each team, and a feed of all the latest Superbowl news and tweets.