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
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: C-Suite Limericks – Benefits from Business Analytic
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Commentary > C-Suite Limericks – Benefits from Business Analytic
Commentary

C-Suite Limericks – Benefits from Business Analytic

GaryCokins
GaryCokins
3 Min Read
SHARE

I am certain that I have broken the rules of meters in my limerick poem below. My excuse is that I am not a poet !

My limerick has two halves: (1) the first half describes companies with problems since they have not adopted analytics-based enterprise performance management methods and systems; and (2) the second half describes companies that have. Each of the two sets of limericks describes four key functional roles in this order:

I am certain that I have broken the rules of meters in my limerick poem below. My excuse is that I am not a poet !

More Read

You and Your Avatars
A Swarm of Nano Quadrotors: The flying robot video you absolutely must watch
The High Cost of Low Quality IT
If you don’t think diversity is important, you are an idiot.
No Wait in Kuwait – But Some Weight (Part 2)

My limerick has two halves: (1) the first half describes companies with problems since they have not adopted analytics-based enterprise performance management methods and systems; and (2) the second half describes companies that have. Each of the two sets of limericks describes four key functional roles in this order:

  • CIO (Chief Information Officer)
  • CFO (Chief Financial Officer)
  • CMO (Chief Marketing Officer)
  • CEO (Chief Executive Officer)   

Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

C-Suite Business Analytics Limericks

OBLIVIOUS COMPANIES

There once was CIO from Mord (Inc.)

whose analysts were usually bored.

With no BI tools,

they looked like fools.

So to other employers they soared.

 

There once was a CFO with Weens (Inc.)

Whose accountants just counted the beans.

The users doubted reporting accuracy and reliability

and made bad decisions with such poor visibility.

His company became smithereens.

 

There once was a CMO with Gayling (Inc.)

whose idea for marketing campaigns was a mass mailing.

They had no insight of customer needs

so their CRM analysts were lost in the weeds.

No wonder his company was failing.

 

There once was a CEO with De Supplement (Inc.)

Who hired VPs who were incompetent.

With no strategy map, balanced scorecard, or KPIs

any evidence of accountability was just lies.

So into bankruptcy they ultimately went.

 

ENLIGHTENED COMPANIES

There once was a CIO with Diamittix (Inc.)

whose users embraced analytics.

They could hypothesize, test, and explore

yielding insights and great decisions galore.

There was no problem they couldn’t fix.

 

There once was a CFO with Treasure (Inc.)

who understood the right things to measure.

Customer profitability analysis and forecasts were spot on.

So good they were relied upon.

And company teamwork became a pleasure.

 

There once was a CMO from Tritation (Inc.)

who leveraged his customer information.

They could mine data and provide predictions

that gave deep insights without contradictions.

The result was his company’s salvation.

 

There once was a CEO from Victament (Inc.)

who installed analytics-based performance management.

She created a culture of metrics and facts

that aligned everyone’s performance to the max.

It was her career’s shining accomplishment.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

chatgpt image jul 13, 2026, 04 19 58 pm
Can AI Help Companies Improve PPC Fulfilment?
Artificial Intelligence Exclusive
chatgpt image jul 13, 2026, 04 14 54 pm
How AI Helps Companies Adapt to Fulfillment Strategy Changes
Artificial Intelligence Exclusive
chatgpt image jul 13, 2026, 03 59 46 pm
How Data Analytics Improves Multi-Location Search Strategies
Analytics Big Data Exclusive
Turning Monitoring Data Into Customer-Facing Incident Communication
Turning Monitoring Data Into Customer-Facing Incident Communication
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

It’s Time for a New Definition of Big Data

6 Min Read

Because It’s the Weekend: We’re NASA and We Know It [VIDEO]

1 Min Read

A New Era For Feedback Management? (Verint Acquires Vovici)

4 Min Read

Statisticians at JSM Consider Themselves “Data Scientists”

2 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?