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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Intelligence Input = Sales Output
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 > Intelligence Input = Sales Output
AnalyticsBusiness IntelligenceData VisualizationData WarehousingPredictive Analytics

Intelligence Input = Sales Output

Ray Major
Ray Major
6 Min Read
Intelligence Input = Sales Output
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

As true today as it was 50 years ago? 

Time capsules can be interesting. They can also be humbling. More on that in a moment. 

Contents
  • As true today as it was 50 years ago? 
  • As true today as it was 50 years ago? 

As true today as it was 50 years ago? 

Time capsules can be interesting. They can also be humbling. More on that in a moment. 

When we hear time capsule, most of us think of a dented iron box filled with photos, knick-knacks and documents buried under the cornerstone of the courthouse in a Midwestern hamlet.   

Those doing the burying often specify the amount of time the capsule is to remain in the ground. In some cases, the timespan must remain undefined. For example, four well-known time capsules are “buried” in space. The two Pioneer Plaques and the two Voyager Golden Records were attached to spacecraft for the benefit of music-loving space-travelers in the distant future. Will they prefer Chuck Berry to Mozart? Inquiring minds want to know. 

More Read

AI Is Empowering Everyone to Become Their Own Branding Expert
AI Is Empowering Everyone to Become Their Own Branding Expert
The New Way to Segment For a 6x Greater Return
Too Much Big Data, Too Few Big Ideas
BI Continues to Offer Major Benefits to Health Care
Designing the Ultimate Business Intelligence Tool

A fifth space-bound time capsule, the KEO satellite, to be launched circa 2016, will carry individual messages from Earth’s inhabitants addressed to earthlings around the year 52,000, when it is due to return. Setting aside navigation and language issues, I suspect DVD player parts will be hard to come by then, even on Craigslist. Good luck with that. 

There’s another type of “time capsule” that I want us to consider: the scholarly article from decades past. (And now we’ve reached the humbling part of the story). 

In my experience many tech professionals, especially the executive ranks, consider themselves forward-thinkers, early adopters, one or two steps ahead, dispensers of wisdom. “If companies or consumers would just take our advice and buy our product or license our app, businesses would run better, people would be happier.” Or some variation on that theme. 

Well, it’s indeed rather humbling to discover thinkers who, 50 years ago, understood with great clarity what we today believe is perceptive, advanced stuff. Especially when they really nail it! 

If you follow my musings, you know that one of my most cherished tenets in BI is that data is dumb and people are smart. It’s only through the consistent, rigorous application of human intellect that data can be transformed into better decision-making. Business Intelligence tools are the bridge…the bridge to understanding and then predicting. I considered this point of view modern and progressive, even a little ahead of its time.

I was perhaps even a little smug. Until I read something from 1964. Ouch! 

McKinsey & Company has been publishing some “classics” recently, and what follows is an excerpt from a “trends” article by John Louth*. 

The dominance of the customer 

It is nearly a truism that the needs and wants of the consumer are the critical issues today in creating new products and services, and developing the accompanying plans to merchandise them at a profit. But this trend—the first on my list—is still in process of evolution. 

The need to understand and anticipate future customers is bound to become even more essential than in the past, because the end users of almost every company’s products are shifting in makeup, location, and number at an ever-increasing rate. 

The significance of this to senior marketing executives is twofold: First, they cannot—indeed, they must not—assume that yesterday’s customers will be available tomorrow. Second, they had better be certain that they have adequate sources of market information. Unless they can keep up with what is happening to their markets, the whole company’s selling effort may ultimately be directed at the wrong people with the wrong products and at the wrong time. 

This is what a marketing vice president I know meant when he said, “My company’s sales output can’t be any better than my intelligence input.” 

That final quote says it all. The (so I thought) modern Business Intelligence value proposition delivered brilliantly. Dramatic. Crisp. Logical. Timeless. 

Thank you Mr. Louth and McKinsey for the time capsule. We carry on the work you started.  

* John D. Louth was a principal in McKinsey’s San Francisco office and specialized in problems of organization, marketing, and sales management. This article, based on a presentation he made to a West Coast marketing-executives group in 1964, appeared in the autumn 1966 issue of McKinsey Quarterly. It was adapted for the Quarterly with permission from Dun’s Review, which had published an earlier version in April 1966.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Technical architecture diagram and decision framework for ai-powered logo generation: design.com vs looka
AI-Powered Logo Generation: Design.com vs Looka
Artificial Intelligence Exclusive
Retailers Should Stop Treating Every Stockout as Equal -- AI-generated illustration
Retailers Should Stop Treating Every Stockout as Equal
Business Intelligence Exclusive
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild? -- AI-generated illustration
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild?
Development Exclusive
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity -- AI-generated illustration
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Online Strategy
Artificial Intelligence

Leveraging AI-Driven Latent Semantic Indexing in Your Online Strategy

12 Min Read
Can Teachers Use AI-Driven Tools for Remote Teaching More Effectively?
Artificial IntelligenceExclusive

Can Teachers Use AI-Driven Tools for Remote Teaching More Effectively?

6 Min Read
Link Building Basics For SEO In The Age Of Data Analytics
Analytics

Link Building Basics For SEO In The Age Of Data Analytics

10 Min Read
Sybase: Big Data Crisis is a Big Lie
Data WarehousingHadoopMapReduce

Sybase: Big Data Crisis is a Big Lie

3 Min Read

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

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence 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?