Phil Simon is a keynote speaker and recognized technology expert. He is the award-winning author of eight management books, most recently Analytics: The Agile Way. His ninth will be Slack For Dummies (April, 2020, Wiley) He consults organizations on matters related to strategy, data, analytics, and technology. His contributions have appeared in The Harvard Business Review, CNN, Wired, The New York Times, and many other sites. He teaches information systems and analytics at Arizona State University's W. P. Carey School of Business.
I'm a big proponent of Big Data. I drink the Kool Aid. I've noticed something interesting over the past year, though. The number of data-specific terms has skyrocketed. Don't believe me? Keep reading.
Who benefits from Big Data? In his Thinkr series, author, photographer and technologist Rick Smolan asks many important questions about the era of Big Data.
While we're hearing more and more about the term, Big Data didn't happen overnight. The data deluge could not have happened without the following taking place:
What makes a great data scientist? It's an interesting question and, to be sure, an increasingly important one now that that we've entered the era of Big Data.
Sheryl Sandberg's new book has, as expected, ignited a debate over women in the workplace. Sandberg contends that many women don't negotiate very well, and this inability is largely responsible for "the gender gap."
.@philsimon on the need to present the data with the appropriate context.
When it comes to data collection, is it better to ask forgiveness or get permission? @philsimon weighs in.
.@philsimon on the desire to jump into the big stuff.
