Tech pundit Daniel Burrus recommends a counterintuitive technique for solving thorny IT management problems. From managing the exploding volume of data to keeping the network secure to taking a high-level strategic role at the C-level table, CIOs live in a complex and intense environment. Therefore, when challenges appear, overcoming them quickly is key for long-term […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Tech pundit Daniel Burrus recommends a counterintuitive technique for solving thorny IT management problems.
From managing the exploding volume of data to keeping the network secure to taking a high-level strategic role at the C-level table, CIOs live in a complex and intense environment. Therefore, when challenges appear, overcoming them quickly is key for long-term success. But part of the challenge about challenges is knowing how to do that.
Experience tells us that our biggest challenges are often quite different from what we think our biggest challenges are (see my last article, Don’t Solve It, Skip It, to learn more). But in searching for the real problem we want to address, it’s not always easy to know where to look. One way to help tease that insight to the surface is to note where everyone else is looking — and then look in the opposite direction.
It is often breathtaking how quickly this strategy makes the invisible visible and reveals surprisingly practical solutions to problems you didn’t even realize you were facing. In fact, this counterintuitive idea is often a quintessential flash foresight strategy.
Not sure how going opposite could realistically play out in the corporate world? Consider the following classic examples of how going opposite produced stellar results:
Amazon.com – Jeff Bezos looked at how Barnes & Noble had taken the traditional bookstore to a new level of size and substance, creating the modern superstore — and went the other way. He shrank the size to nothing and made it completely insubstantial.
It didn’t take Barnes & Noble, Borders (now going out of business), and the other major book retailers long to create their own versions of virtual book superstores. But, by the time they caught up, Amazon had gone in an opposite direction again: It added consumer electronics, toys, clothing, home and garden accessories, etc. … in short, everything . Next, Bezos rented excess technology capacity to any size company, acting as a virtual IT department. Having become the first major virtual bookstore, it has now become a virtual unbookstore.
Dell – Dell looked at the PC industry’s reliance on retailers and did something else: direct marketing. All the other personal computer manufacturers created their own line of models and then offered them to consumers to buy through retail outlets. Dell showed its consumers the full range of options, on the Internet, and then invited them to design the models they wanted themselves.
JetBlue and Southwest – JetBlue looked at the hub-and-spoke system used by legacy carriers and decided to do the opposite. Launching their low-cost airline based on a point-to-point system, they profited while others suffered and went into bankruptcy.
The founders of JetBlue came from the opposites-work-better culture of Southwest Airlines. Southwest does almost everything the opposite of the legacy carriers, right down to how they put you on the plane. Instead of assigning you seats on the plane, they assign you a place to stand in line at the gate while waiting to board. Sounds crazy, but it works. By 2007, as measured by number of passengers carried per year, Southwest Airlines had become the largest airline in the world.
The opposite of no money
There is hardly any conversation where the idea “that’s impossible” more commonly enters the picture than the conversation about budget and finance.
Read the rest about IT Management problem solving at CIOUpdate.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
SEE ALL
ARTICLES