Sports & Entertainment

Analytics
Rodrigo Arias 0
La oferta perfecta, a la persona correcta, en el momento justo

El uso de herramientas de analítica avanzada permite a las organizaciones desplegar capacidades de “Customer Decisioning” para entregar a sus clientes una experiencia de consumo excepcional, gracias a una mayor relevancia en cada interacción. En la actualidad, los clientes esperan una experiencia perfecta, altamente personalizada y relevante ya sea en

Analytics
Gloria Cabero 0
7 grandes razones para no perderse SAS® Global Forum

Si reconoces que el análisis de datos es fundamental para el éxito de tu organización, entre el 28 de abril y el 1 de mayo tienes que estar en Dallas, Texas, la sede del evento más importante del ámbito de la analítica avanzada. ¿Qué motivos justificarían el viaje? Podríamos señalar

Analytics | Data Management | Internet of Things
Reece Clifford 0
Unlocking analytics for multi-sport events

The reach of sports analytics is growing by the day. Increasingly, fans expect access to additional information when viewing their favourite sport. The Premier League has started to provide information about distance run, completed passes and penalty placement history. The Australian Football League shows—on live TV—the heart rate of a

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
The SGPIE Procedure - Part 2

The SAS 9.4M6 software includes a new SGPIE procedure (preproduction) as introduced in the recent article - The SGPIE Procedure.  In that article, I described the basic features of the two statements supported in the procedure, the PIE and the DONUT, with some examples. It is my humble opinion that

Advanced Analytics | Artificial Intelligence | Machine Learning
Mark Bakker 0
From concept to value — the machine learning curve

Advanced analytics is an important part of artificial intelligence (AI). Machine learning, or the ability of computers to learn from data, rather than through programming rules, means that more complex problems can be addressed than would otherwise be possible. It is significantly easier to supply lots of data and examples

Advanced Analytics | Data Visualization
Sertalp B. Cay 0
Visiting all 30 Major League Baseball Stadiums - with Python and SAS® Viya®

Ballpark Chasers A cross-country trip is pretty much an all-American experience, and so is baseball. Traveling around the country to see all 30 Major League Baseball (MLB) stadiums is not a new idea; there's even a social network between so-called "Ballpark Chasers" where people communicate and share their journeys. Even

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