Modern sports analytics involves more than gate receipts and turnstile data. Find out how sports teams of all kinds are turning to advanced analytics to help them attract new fans while offering their longtime supporters a compelling interactive experience that makes fans, new and old, an integral
Does your data science need a shot in the arm? Attend Datapalooza, a one-of-a-kind globetrotting data science festival that aims to bring together data scientists from all walks of life for two and a half days of education and application. Find out when Datapalooza will be coming to your area, then
Social media has taken the retail industry on an extraordinary, tangential path for gaining a deeper understanding of the consumer. See what several big data experts have to say about the impact social media data and analysis of customer conversations have on the consumer experience.
Keeping up with millennials' shifting social media use is a daunting task for consumer product companies. Instead, modern marketers may need to emphasize values that are important to this cohort across digital channels.
When you are covering one of the largest sporting events in the world, how do you give fans the best experience possible? Globo TV scored big during the FIFA World Cup in 2014 by listening to their fans with a social sentiment analysis solution from IBM.
Advanced analytics, reporting and aggregation software for social media is everywhere these days. As a social media manager, my job is to keep testing out these tools all the time. In all of this testing, seeing a disruptive product that makes you stop and think is rare. And yet I’m pleased to say
Technology continues to change our lives in many ways. Consider the world of sports. Gone are the days when couch-bound sports fans or fans in attendance at arenas and stadiums took in games with their eyes only. Key advances in mobile and social computing provide great opportunities to engage fans
Cognitive analytics is innovating and evolving rapidly. Expert predictions in this area are essential for organizations that plan to leverage cognitive analytics in their big data analytics strategies in 2016 and beyond