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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 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

Coca-Cola’s New Marketing Map: Is It Better?
Teradata Partners: Going “Big”
Melissa Hathaway Op-Ed on Cyber Security
Stop Justifying Data Quality Programs and Do the DQ Work Already!
Lessons Learned from Cubetree; an Enterprise Social Software Company

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

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Article on Customer Decisioning

1 Min Read

‘SOA’ dead as of January 1st, analyst says

0 Min Read

Defining Your Data Quality Problems

8 Min Read

Playing With Wolfram Alpha

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.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?