{domain:"www.qualitydigest.com",server:"169.47.211.87"} Skip to main content

        
User account menu
Main navigation
  • Topics
    • Customer Care
    • Regulated Industries
    • Research & Tech
    • Quality Improvement Tools
    • People Management
    • Metrology
    • Manufacturing
    • Roadshow
    • QMS & Standards
    • Statistical Methods
    • Resource Management
  • Videos/Webinars
    • All videos
    • Product Demos
    • Webinars
  • Advertise
    • Advertise
    • Submit B2B Press Release
    • Write for us
  • Metrology Hub
  • Training
  • Subscribe
  • Log in
Mobile Menu
  • Home
  • Topics
    • Customer Care
    • Regulated Industries
    • Research & Tech
    • Quality Improvement Tools
    • People Management
    • Metrology
    • Manufacturing
    • Roadshow
    • QMS & Standards
    • Statistical Methods
    • Supply Chain
    • Resource Management
  • Login / Subscribe
  • More...
    • All Features
    • All News
    • All Videos
    • Contact
    • Training

Defining Your Data

Six terms to avoid confusion

Sky Cassidy
Mon, 01/04/2021 - 12:02
  • Comment
  • RSS

Social Sharing block

  • Print
Body

Whether you subscribe to the scientific definition of data (information on which operations are performed by a computer and transmitted in the form of electrical signals) or the philosophical definition (that which is known and used as the basis of reasoning or calculation), I think most people use the word “data” incorrectly.

ADVERTISEMENT

If you’re a data scientist, or you become upset that this will be the only time I use the singular form “datum,” this article will probably disgust you, and I apologize. On the other hand, if you’re in marketing, sales, or just about any other department, then I hope this will help clarify the overused but super-useful word “data.”

One of the roots of the problem with the word is when it’s used as a generic noun. It’s overused and causes confusion. Confusion is the enemy, particularly in sales and marketing. Granted, data is a useful word because it’s short. When used among a group of people who work with the same type of data, the term works as a reference for what everyone knows you’re talking about.

 …

Want to continue?
Log in or create a FREE account.
Enter your username or email address
Enter the password that accompanies your username.
By logging in you agree to receive communication from Quality Digest. Privacy Policy.
Create a FREE account
Forgot My Password
Top Stories
AI May Be Making Your Quality Problem Worse
The 6 Best Quality Management Software Features That Simplify Your QMS
What I Discovered About Quality Concepts by Watching My Newborn Granddaughter
Why Products Still Fail RoHS, REACH, and POPs Compliance
Your AI Model Is Drifting Right Now. Would You Know?

Add new comment

Please login to comment.

© 2026 Quality Digest. Copyright on content held by Quality Digest or by individual authors. Contact Quality Digest for reprint information.
“Quality Digest" is a trademark owned by Quality Circle Institute Inc.

footer
  • Home
  • Print QD: 1995-2008
  • Print QD: 2008-2009
  • Videos
  • Privacy Policy
  • Write for us
footer second menu
  • Subscribe to Quality Digest
  • About Us
  • Contact Us