5.18.17 — This week’s #TBT is titled, “CMO Or SCHMO? Clinging To Old Marketing Models May Be Hurting Rather Than Helping Drive Growth.” I posted this on Forbes.com on 12/19/16. The article is timely in light of several recent developments:
Throwback Thursday: Big Data & Analytics Edition
Today’s Throwback Thursday article “Big Data And The Madness Of Crowds” was written for Forbes.com on 6/17/2014. The context deals with the madness of crowds, which was the topic of a book written by Charles Mackay in 1841. Mackay wrote
Throwback Thursday: Big Data & Analytics Edition
March 30, 2017: Today’s Throwback Thursday article is “David Vs. Goliath: Why Little Data Will Win Over Big Data” from my Forbes.com column on May 29, 2014. The issues discussed concerning big data are now apparent today. In the Internet
Throwback Thursday: Big Data & Analytics Edition
March 24, 2017: Today’s Throwback Thursday article I wrote for my Forbes.com blog on May 15, 2014. The title of the article was “I’ve Got A Secret: The Real Big Data Opportunity”. The article references an old TV Show, I’ve
Throwback Thursday: Big Data & Analytics Edition
March 16, 2017: “Is Mass Hysteria Driving The Big Data Market?” is the title of today’s Throwback Thursday article which was published on May 5, 2015 on Forbes.com. In the rush towards anything to do with big data, many suffered temporary
Throwback Thursday: Big Data & Analytics Edition
March 9, 2017: Today’s Throwback Thursday article is entitled, “Three Legs Of Big Data Stool Needed For Success.” First published on Forbes.com on April 23, 2014, it details three key areas for getting started in big data. 1. Data Sourcing
Throwback Thursday: Big Data & Analytics Edition
This week’s Throwback Thursday article comes from a Forbes.com post I authored in March of 2014 titled, “Is Big Data Today’s Sock Puppet?” To set the context of the article, recall all the hype centered on big data in 2014,
Throwback Thursday: Big Data & Analytics Edition
Earlier this week, I read an article in a technology publication about several University of Washington professors who are launching a new course designed to overcome what they call “bulls**t in the age of big data.” The 160 seat seminar