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

We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: An Analytics Story Problem: When will two trains collide?
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 > An Analytics Story Problem: When will two trains collide?
Analytics

An Analytics Story Problem: When will two trains collide?

GaryCokins
GaryCokins
4 Min Read
SHARE

I recently presented a keynote presentation at the annual conference of the joint Ohio chapters of the Institute of Management Accountants. I shared the stage with Mike Willis, Partner, PricewaterhouseCoopers and the founder of and Chairman Emeritus of XBRL International. Mike posed this question to make an important point:  

I recently presented a keynote presentation at the annual conference of the joint Ohio chapters of the Institute of Management Accountants. I shared the stage with Mike Willis, Partner, PricewaterhouseCoopers and the founder of and Chairman Emeritus of XBRL International. Mike posed this question to make an important point:  

Two trains are on the same track 600 miles apart traveling towards each other.  One train is traveling west at 50 mph and the other train is traveling east at 20 mph.  How long will it take for the trains to impact each other? 

More Read

When Distributions Go Bad
“Average” Statistics that Bruise Our Ears
Businesses Use Inbound Comms to Generate Market Data
Date – March 6th, 2009 Time – 09:00 – 13:30 Address – IBM Forum…
3 Reasons How Big Data is Improving the Consumer Experience
  1. 8 hours, 30 minutes
  2. 8 hours, 34 minutes
  3. 8 hours, 42 minutes

The narrow correct answer is B. But an experienced analyst thinking out-of-the-box would ask (1) Who would ride on a train traveling 20 mph?  and (2) Who would put two trains on a collision course?

Framing a problem

In my mind there are two pre-requisites to problem solving: (1) first frame the problem or opportunity, and (2) then perform the analysis.

Framing a problem is usually not an easy task. Yes for simple plans, it is. For example, one decides to take an umbrella if the sky has dark clouds but not if it is sunny. Is one 100% sure? It is probably good enough for the umbrella decision. But do you know or just think you know?

This example gives a glimpse of the limits of planning. Mental shortcuts, gut feel, intuition and so on typically work except when problems get complex. When problems or opportunities get complex, then a new set of issues arise. Systematic thinking is required. What often trips people is they do not start by framing a problem before they begin collecting information that will lead to their conclusions. There is often a bias or preconception. One seeks data that will validate one’s bias. The adverse effect is we prepare ourselves for X and Y happens. By framing a problem, one widens the options to formulate hypothesis.

 Analytics begin with a hypothesis

Ah, the term hypothesis. Posing a hypothesis critical and requires analytics, the second pre-requisite, to prove or disprove if the hypothesis is valid or not. Much is now being written about analytics. There is a reason. The margin for error keeps getting slimmer. Also, once accepted types of strategies (e.g., low-cost producer) are vulnerable to competitor actions. The only truly sustainable strategy is to have organizational competency with analytics.

Experienced analysts frame, analyze, and then plan for actions. But plan to re-plan – numerous times. And today with high performance computing (HPC)there are ways to do this. Reliable forecasting and probabilistic scenario planning can be added to the portfolio of analytics that progressive companies use.

 

TAGGED:business analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data collection techniques
Data Collection

The 5 Best Methods Utilized for Data Collection

5 Min Read

Mobile Business Intelligence: The Pseudo Revolution

8 Min Read

Getting the other 90% of analytic adoption to happen

7 Min Read

Business Intelligence: Intuitive vs Cool Data Visualization and Infographics

8 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
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?