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: Pulling on the root of bad business writing
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 > Pulling on the root of bad business writing
Business Intelligence

Pulling on the root of bad business writing

TedCuzzillo
TedCuzzillo
2 Min Read
Pulling on the root of bad business writing
Illustration generated with Qwen Image.
SHARE

In his fine weblog Startup Diaries, David Silverman takes a good stab at answering the eternal question: Why is most business writing so bad?

He writes, for example, “I blame this on an educational system that rewards length over clarity. When you get tick marks for bulls’ eyes — and no demerits for the number of darts used — the student learns to overwrite in hopes that at least some of their sentences hit the mark.”

I once experimented with that theory. For one class in graduate business school, I had to write two book reviews. The first one got a bad grade despite concise, well thought out points. Even the instructor agreed. Why the bad grade? He could only cite his intuition accumulated over decades, his “on board radar,” as he seemed to turn invisible knobs over his ears.

I loaded the second essay with as many “expensive sounding” words — as David Silverman would call them — and made sure to repeat every point at least twice. I got a very good grade.

More Read

Database Activity Monitoring – A Security Investment That Pays Off
Earth Day: How Green BI has Become a Reality
Managing Unstructured Data: The Next BI Point of Emphasis
Cloud ERP – Efficient, Innovative, or Both?
7 Ways Robotic Technology is Shaping the Healthcare Industry

After class, I said to him, “So, you liked this one better!” He nodded and mumbled something about “points better made.” In fact, I hadn’t even read much of the book, and I hadn’t thought much about what I did read.

Link to original post

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

Creating a Business Intelligence Culture
Best PracticesBusiness IntelligenceCulture/LeadershipPolicy and Governance

Creating a Business Intelligence Culture

9 Min Read
The (Foreseeable) Future of Cloud Computing Explained
Best PracticesBig DataBusiness IntelligenceData ManagementData Visualization

The (Foreseeable) Future of Cloud Computing Explained

5 Min Read
The Future of Email Enforcement and the FTC’s New Man
Business Intelligence

The Future of Email Enforcement and the FTC’s New Man

4 Min Read
Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data
AnalyticsBig DataBusiness IntelligenceCloud ComputingData MiningData QualityData VisualizationData WarehousingHadoopHardwareITMapReduceOpen SourceSoftwareSQLUnstructured DataWorkforce Data

Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

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.

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?