SAS Voices
News and views from the people who make SAS a great place to work
Let’s flash back to a simpler year. I don’t want to date myself, so think circa 1990s. I remember sitting with my now husband watching Ken Burns’ documentary Baseball when I was first introduced to Doris Kearns Goodwin. She didn’t just know baseball – it was part of her DNA. She was smart, funny and a storyteller. I became a fan that day, and only came
In recent years, we have seen some astronomical contracts given to professional athletes. Major League Baseball (MLB) has certainly had its share. One of its first notable “megadeals” was when Alex Rodriguez, the Seattle Mariners’ power-hitting shortstop, left the team to join the Texas Rangers in 2001. The Rangers committed
COVID-19 has upset nearly every prediction and business plan for 2020 across the planet. Making predictions for 2021 may seem like a fool’s errand at this point, but many trends and consequences are already obvious and emerging from the global pandemic. The last global pandemic of this magnitude, the Spanish
Old-school organizations have new opportunities to reinvent themselves with analytics “AI and analytics advancements will help revive positive sentiment toward traditional organizations like government agencies and banks. Data-driven government responses to COVID-19, for example, are changing perceptions of government responsiveness. And banks that implement automated decisions are surprising customers with
Some people hear the words computer science and only think of coding but ask any computer scientist and they would tell you that coding is just a tool to solve important and interesting problems. At its core, computer science is about using technology to solve complex problems in the world,
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. As discussed in previous posts, statistics and visual representations of data can be misleading. But what happens when the data itself is misleading? And if data is