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: Which is more important? Rearview mirrors or windshield?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Which is more important? Rearview mirrors or windshield?
Data VisualizationPredictive Analytics

Which is more important? Rearview mirrors or windshield?

GaryCokins
GaryCokins
5 Min Read
SHARE

A popular pair of PowerPoint slides used by business conference speakers first displays a distant car behind in the rearview mirror of an automobile followed by a second PowerPoint of the same auto’s windshield view with a big oncoming truck directly in your lane – beep-beep! I am conflicted with this not so veiled message. I passionately embrace the increasing emphasis on forecasting outcomes and its value to narrow the uncertainty of the future. But this implies knowing and understanding the past is of much less informational value. There is substantial value in both views – the past and the future.

I agree with the symbolism that the rear view mirror implies that events have already happened, so they are already behind you and can not be affected. But this message to only look forward is distorting. I personally like having rearview mirrors, and when driving I glance at them often. I want to see what types of vehicles are behind me and what rate they may be speeding up on me.

Why does understanding the past have importance too? There is much to be gained from analyzing trends and drawing inferences from the past. A trend starts back in time but it ends with last …

More Read

ggplot2 and the grammar of graphics
Business Intelligence and Your Business: Ignorance Is Not Bliss
MicroPoll : Predictive Analytics World:What is most compelling?
Black Swans Causing a Rethink on Global Supply Chains?
Analytics in Malaysia: News and Interviews from the SAP Analytics Tour

A popular pair of PowerPoint slides used by business conference speakers first displays a distant car behind in the rearview mirror of an automobile followed by a second PowerPoint of the same auto’s windshield view with a big oncoming truck directly in your lane – beep-beep! I am conflicted with this not so veiled message. I passionately embrace the increasing emphasis on forecasting outcomes and its value to narrow the uncertainty of the future. But this implies knowing and understanding the past is of much less informational value. There is substantial value in both views – the past and the future.

I agree with the symbolism that the rear view mirror implies that events have already happened, so they are already behind you and can not be affected. But this message to only look forward is distorting. I personally like having rearview mirrors, and when driving I glance at them often. I want to see what types of vehicles are behind me and what rate they may be speeding up on me.

Why does understanding the past have importance too? There is much to be gained from analyzing trends and drawing inferences from the past. A trend starts back in time but it ends with last moment you checked. Collectively that information is nearly real-time. An inference is a conjecture that allows you to deduce what is going on, and in many cases our wonderful human brain can instantly draw conclusions about what it all means to respond with a next action. If I am driving in the fast lane, the passing lane, of the German autobahn, and I see a BMW approaching me; then I should shift to the slow lane (where you are foolish to not mainly drive in anyway).

In some cases, such as with profit and cost analysis of products and customers, the historical absolute data is less important than the relative relationships. The relationships are essential for modeling the future.

In some cases your inference and subsequent alternative actions needs to be validated. This is where the symbolism of the windshield comes in. The ability to project what-if scenarios is powerful because then you can select the best alternative – strive for optimization. As the emphasis shifts from traditional control to better planning, there is increasingly more being written and discussed about predictive analytics and risk management. Professor Tom Davenport’s book, Competing on Analytics, is an excellent source to learn more. However, there are many flavors of analytics, including segmentation analysis and complex pattern recognition, so do not equate Davenport’s message to be only predictive analytics are important. There is rich information from understanding history too.

TAGGED:modelingpredictive analytics
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

Gartner says predictive analytics are the hot BI topic.

2 Min Read

How to Improve Predictive Accuracy? (Part 1)

6 Min Read

Voodoo Spectrum of Machine Learning and Data Sets

3 Min Read
small forex traders
Big DataExclusive

Big Data Eases the Burden of Small Forex Traders

6 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
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?