InformationWeek's "The Greatest Software Ever Written" drew on writer Charles Babcock's decades of experience covering software development. Because Charlie judged software breakthroughs "in their historical context," everyone could debate the list and supply alternative candidates. It quickly became our most-read online article to date, and in the days that followed about 300 readers shared their opinions, in an unexpected outpouring of memories. (That rich discussion, alas, was lost in a content management system changeover a couple of years ago.) The Apple Lisa, not the Mac operating system (No. 8), should have been on our list, wrote Michael Bell at Medco. Why not John Kemeny's Basic instead of Java (No. 5)? asked Oscar Shultz at CSC. The Morris worm (No. 12) shouldn't have been on the list at all, said another reader. Babcock laid out clear criteria. He wasn't interested in science projects; the code not only had to be technically brilliant, but it also had to be widespread in the real world. Excel made our list (No. 9), but not Windows or Word. And No. 1? That was BSD Unix, for its impact on the Internet and Linux, and for the philosophy behind it that software "should be a freely available extension of man's intellectual powers -- a force that changes his place in the universe." Software expert Ed Yourdon, author of the Yourdon Report, called our list "a darn good starting point, if not the last word."
The Business of Going DigitalDigital business isn't about changing code; it's about changing what legacy sales, distribution, customer service, and product groups do in the new digital age. It's about bringing big data analytics, mobile, social, marketing automation, cloud computing, and the app economy together to launch new products and services. We're seeing new titles in this digital revolution, new responsibilities, new business models, and major shifts in technology spending.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?