Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Fight Back Against Black Swan Fatigue
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Fight Back Against Black Swan Fatigue
CommentaryExclusivePredictive AnalyticsRisk Management

Fight Back Against Black Swan Fatigue

paulbarsch
paulbarsch
5 Min Read
SHARE

In today’s lean, just-in-time, and over optimized world, it’s not uncommon for executives roll their eyes when the term “Black Swan” is brought up in risk management discussions.  That’s because even though preparing for extreme events makes logical sense, there’s also a cost associated with redundancy and robust disaster planning.  In addition, no one is ever judged a hero for saving the company from w

In today’s lean, just-in-time, and over optimized world, it’s not uncommon for executives roll their eyes when the term “Black Swan” is brought up in risk management discussions.  That’s because even though preparing for extreme events makes logical sense, there’s also a cost associated with redundancy and robust disaster planning.  In addition, no one is ever judged a hero for saving the company from what never (or is never supposed to) happen.  Business executives must fight back against Black Swan fatigue, because in today’s interconnected and highly correlated world, the next extreme event could be the one that shoves your company off a cliff.

When it comes to preparing for low probability but high impact events (i.e. Black Swans), the sad truth is most business executives will do nothing.  Why? Nassim Taleb, author of the Black Swan, explains; “It is difficult to motivate people in the prevention of Black Swans. Prevention is not easily perceived, measured, or rewarded; it is generally a silent and thankless activity. History books do not account for heroic preventive measures.”

Taleb is right. No one will be labeled a hero for keeping extra inventory on hand. No one will be characterized a hero for divvying orders among various suppliers just in case the favored and most cost effective supplier goes belly up. And spending money on strategy and risk management consultants to disaster and scenario plan for worst case developments? Forget about it. These are all just costs, and cannot be afforded in today’s bottom line economy, right?

More Read

big data and education trends
Top 5 Big Data Trends Influencing Education in 2021
OllieBray.com: Microsoft Bing Maps augmented reality demo at the TED 2010
The Ever-Increasing Importance of Predictive Analytics
Should the RFP Die? Probably. Will it? Probably Not.
Collaboration Is Vital to Success [VIDEO]

Someone wise once said that risk management is much like insurance. You hate to spend money on it, but you’re darn glad you have it when all hell breaks loose.

But wait you say, don’t most business executives plan for disaster? Perhaps, but there’s a difference between hiring a consultant to produce a disaster planning report which promptly collects dust, and actually preparing for and assuming extreme events will occur as part of your overall business plan.  And even when managers believe they’re prepared for worst case events, sometimes it’s not enough—with potentially horrific consequences.

As detailed in the March 27, 2011 issue of the Financial Times, executives at Tepco’s Fukushima Daiichi plant were prepared for earthquake. In fact, they were also prepared for tsunami—having built a seawall 20 feet tall. What they did not expect is that the March 11, magnitude 9.0 earthquake would cause a tsunami wave 40 feet tall! The tsunami promptly washed away the sea wall and also the diesel powered generators cooling the spent nuclear fuel rods housed at Fukushima.  

Executives at Fukushima had planned for disaster. They had built a 20 foot seawall. They had redundancy with backup generators in case the cooling system failed. And the nuclear plant powered down once the 9.0 magnitude earthquake hit. Everything worked as planned. But they were not prepared for the “unthinkable” extreme event.

Predictive modeling based on historical data will only take you so far. Even extrapolating with Bayes isn’t going to be of much use for “unknown, unknowns”.  As business managers we must fight Black Swan lethargy, especially when all oars in the boat are rolling towards lands of “optimization” and “cost effectiveness”. As managers, we must continue to sound the alarm, even though probability of the extreme event is of the smallest percentages.

Play up the risk of future Black Swans and then prepare for the extreme event. Here’s to hoping you’ll never be proved right.

TAGGED:Bayes Theoremblack swanpredictive analyticsrisk managementTaleb
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Talk Analytics with Executives: 4 Things You Must Understand

8 Min Read

Defending Your Analytics: Handling Hecklers

9 Min Read

Less Wrong: Using Predictive Analytics to Improve Budgeting

3 Min Read
big data scientists build bridges
AnalyticsPredictive Analytics

Big Data Scientists Are Bridge Builders

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?