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
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 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

November 2009 Early Indications: Prediction Scorecard
My Teleseminar, Social Media 101 for Authors
Using Customer Data? Start With Clean Data
Are Duplicate Tweets Spam?
Clustering the thoughts of Twitter Users

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

stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive
microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Rackspace and Intel Cut the Ribbon on OpenStack Innovation Center

3 Min Read

Self-Serve Analytics Really Aren’t DIY

4 Min Read

Defining Cloud Computing for Business Users

12 Min Read

How To Increase Response Rates by Making RFM Better

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.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?