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 and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Forecasting Lessons from Heathrow’s Snowpocalypse
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Decision Management > Forecasting Lessons from Heathrow’s Snowpocalypse
AnalyticsDecision ManagementPredictive Analytics

Forecasting Lessons from Heathrow’s Snowpocalypse

paulbarsch
paulbarsch
4 Min Read
SHARE

As evidenced by lessons learned from the Heathrow Winter Resilience Inquiry, when it comes to accurately forecasting future events, it’s possible to get the forecast mostly correct yet not properly prepare or respond to forecast results.

As evidenced by lessons learned from the Heathrow Winter Resilience Inquiry, when it comes to accurately forecasting future events, it’s possible to get the forecast mostly correct yet not properly prepare or respond to forecast results.

The period of December 18-23, 2010 was shaping up to be just like any holiday season at Heathrow Airport. Plenty of planes, plenty of passengers and thousands of Christmas gifts passing through airport scanners. However, an event was brewing on the horizon—a significant winter storm was on the way.

More Read

Top 10 analytics mistakes
Why Business Intelligence Software Is Failing Business
NYT: SAS facing stiff competition
How Apple’s iWatch Will Push Big Data Analytics
The Data Consumption Dilemma: 4 Pitfalls to Avoid

Editor’s note: Paul Barsch is an employee of Teradata. Teradata is a sponsor of The Smart Data Collective.

Airport company BAA manages six airports in the UK. And even with a storm forthcoming, the company had successfully managed and responded to winter events in February 2009, January and November 2010.  As BAA managers examined weather forecasts, it appeared this particular storm could be managed, just like any other. 

Indeed, in column for the Financial Times, columnist Michael Skapinker notes that, “(BAA) knew the snow would strike at the busiest time of the year… (and) with almost every seat sold, the airport was heading for the busiest weekend in its 64 year history.”

Thus the table was set: a big storm forecasted and thousands of passengers still on their way to the airport with no flights—as yet—cancelled. Add in a dash of cranky holiday travelers and you have a combustible mix for sure. And when the storm finally hit Heathrow, chaos ensued.

On Saturday morning, there was more than 9cm of snowfall, with 7 cm falling in an hour! Airport operators didn’t anticipate how a rapid accumulation of snow would snarl air traffic. Case in point, there wasn’t enough equipment to de-ice planes, leading to four thousand flight cancellations. Adding insult to injury, communication processes between BAA and airlines broke down, leaving airlines to tell passengers conflicting stories when flights would resume. And stranded passengers were forced to spend days and nights at the airport without enough blankets, food and water.

The Heathrow Winter Resilience report, commissioned by BAA to help them deal with future crises, cited the necessity for better preparation and planning to deal with harsh weather conditions. In addition, to improve communications the report recommended a single physical control center for major incidents to help prepare for passenger welfare.

All of these are good steps; however this case study highlighted two important things. First, it’s possible to predict—even accurately—that an event will happen, but sometimes it is difficult to anticipate the severity of impact. Second, while it’s important to anticipate “what will happen”, the second part of the equation or the ability to “act” on that knowledge with the right people, processes and technology is critical to success or failure.

Questions:

  • What could BAA have done differently to “anticipate” the effects of the winter storm on December 18?
  • Daily snowfalls increments of 7cm or more have only occurred six times since 1970 according to the Heathrow report. Was BAA “rolling the dice” in your estimation?
TAGGED:analyticsFinancial Timesforecasting
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai video ad generation
How to Build High-Performing Ad Creatives with an AI Short Ad Video Maker?
Artificial Intelligence
big data and customer service outsourcing
How Data Analytics Improves Customer Service Outsourcing
Analytics Exclusive
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
Artificial Intelligence Exclusive
How a Specialized Marketing VA Improves Campaign Analytics
How a Specialized Marketing VA Improves Campaign Analytics
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Google Analytics
Security

Hackers Steal Credit Cards Using Google Analytics: How to Protect Your Business From Cyber Threats

12 Min Read

Looking at the increasing role of social media within business intelligence

6 Min Read
customer relationship management
Big Data

CRM: Businesses Should Walk Before They Run

3 Min Read

Decision Services, Watson and Cognitive Computing

7 Min Read

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

ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?