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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Why Organisations Make Bad Decisions
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Why Organisations Make Bad Decisions
Uncategorized

Why Organisations Make Bad Decisions

Steve Bennett
Steve Bennett
4 Min Read
SHARE

I recommend reading the Psyblog entry discussing the value of dissent. It presents a well thought out argument as to why corporations make bad decisions. There are lessons here for those interested in better understanding the group context within which decisions are made in most large organisations.

Although it is not exhaustive, there are some tips on how to create constructive dissent. This is very difficult to do in practise – and doubly difficult if you are an analyst with the data already to hand that proves you are correct!

Here are Psyblog’s ways to achieve ‘good’ dissent:
  • Hire someone who genuinely disagrees with the group
  • Hire leaders that facilitate discussion. 
Doesn’t sound like rocket science, so why is it so difficult? Here’s why:
  • Organisations often recruit on the basis of who will ‘fit in’ and not ‘rock the boat’. The stereotypical yes-man often emerges, perhaps unconsciously, as perfect for the job.
  • Group cohesiveness is highly valued for productivity (‘are you a team-player?’): groups who are always bickering are perceived as getting less work done.
  • Disagreement and the expression of conflicting opinions makes people uncomfortable and they try to …

More Read

End of the Retooling Decade?
Top Stories in Cybernews
Sum / Amount
This Is Why You Shouldn’t Weight Your Survey Data
Judit Nagy of MySpace & Tom H. C. Anderson Discuss Social Media Research

I recommend reading the Psyblog entry discussing the value of dissent. It presents a well thought out argument as to why corporations make bad decisions. There are lessons here for those interested in better understanding the group context within which decisions are made in most large organisations.

Although it is not exhaustive, there are some tips on how to create constructive dissent. This is very difficult to do in practise – and doubly difficult if you are an analyst with the data already to hand that proves you are correct!

Here are Psyblog’s ways to achieve ‘good’ dissent:
  • Hire someone who genuinely disagrees with the group
  • Hire leaders that facilitate discussion. 
Doesn’t sound like rocket science, so why is it so difficult? Here’s why:
  • Organisations often recruit on the basis of who will ‘fit in’ and not ‘rock the boat’. The stereotypical yes-man often emerges, perhaps unconsciously, as perfect for the job.
  • Group cohesiveness is highly valued for productivity (‘are you a team-player?’): groups who are always bickering are perceived as getting less work done.
  • Disagreement and the expression of conflicting opinions makes people uncomfortable and they try to suppress it, partly because:
  • Dissent is easily misinterpreted as disrespect or even a personal attack.
  • Dissenters are often labelled as trouble-makers and targeted for either conversion to the consensus or outright expulsion from the group.

Thomas Davenport, author of Competing on Analytics: The New Science of Winning (Harvard Business School Press) makes a similar but much broader point. He advocates a new emphasis on people as the key ingredient in successful predictive analytics. An old, but still relevant discussion is available here.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

From Prettier Tables to Prettier Text

6 Min Read

HIPAA Violation Penalties Rise in Response to Data Breaches

6 Min Read

Fight Hunger on April Food Day

3 Min Read

How to Retain Your Existing Customers with the Right Data

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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?