By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
    predictive analytics for amazon pricing
    Using Predictive Analytics to Get the Best Deals on Amazon
    8 Min Read
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Data Quality: A Cause and Effect Story
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Data Quality: A Cause and Effect Story
Business IntelligencePredictive Analytics

Data Quality: A Cause and Effect Story

DataQualityEdge
Last updated: 2009/03/30 at 4:09 PM
DataQualityEdge
4 Min Read
SHARE

While reading a classic story to my kids, “Because a bug went ka-choo!” I thought to myself that some CEO’s who just don’t get data quality might learn a little cause and effect along the same lines as this great story. So here’s a lesson about the importance of bugs in your code and the data quality issues it may cause and the effects that pour forth…enjoy!

You may not believe it,
But here’s how it happened.
One long business day,
A little bug was scripted.

And because of that script,
A character was dropped.
Because that character dropped
A record got lost.
Because the record was lost,
Provisioning was not informed.
Because they weren’t informed
No service was issued.
Because of no service,
that customer got mad
because he got mad.
He talked to his neighbour,
Because he talked to his neighbour,
the neighbour named Paul chatted to his coworker.
Because of that chat, the coworker made an anti-company website,
Because of that website people shared similar bad service stories.
Because of those stories, the competition smiled.
Because the competition smiled, they decided to entice.
Because they were enticed,
The customers started to leave.
Because they started to leave, sales came down, and i…

More Read

analyzing big data for its quality and value

Use this Strategic Approach to Maximize Your Data’s Value

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing
Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC
Quality Control Tips for Data Collection with Drone Surveying
3 Huge Reasons that Data Integrity is Absolutely Essential


While reading a classic story to my kids, “Because a bug went ka-choo!” I thought to myself that some CEO’s who just don’t get data quality might learn a little cause and effect along the same lines as this great story. So here’s a lesson about the importance of bugs in your code and the data quality issues it may cause and the effects that pour forth…enjoy!

You may not believe it,
But here’s how it happened.
One long business day,
A little bug was scripted.

And because of that script,
A character was dropped.
Because that character dropped
A record got lost.
Because the record was lost,
Provisioning was not informed.
Because they weren’t informed
No service was issued.
Because of no service,
that customer got mad
because he got mad.
He talked to his neighbour,
Because he talked to his neighbour,
the neighbour named Paul chatted to his coworker.
Because of that chat, the coworker made an anti-company website,
Because of that website people shared similar bad service stories.
Because of those stories, the competition smiled.
Because the competition smiled, they decided to entice.
Because they were enticed,
The customers started to leave.
Because they started to leave, sales came down, and it hit CEO Brown.

And that drop got stuck in his head. Because it got stuck, CEO Brown phoned for help.
Because of his call, the CFO began counting.
Because the CFO was counting, they noticed the shares.
And so the execs sold those shares all alone.
Because they sold those shares, the share price came down.

Because it came down, employees were let go.
Because they were let go, they decided to sue.
Because of that suit the shares price started to sink,
Because it started to sink the executives were investigated for insider trading.

Because they were investigated, they headed to court,
And you may not believe it, it’s true I’m afraid they ran right into executive protest parade.

And that started something they’ll never forget, and as far as I know it is going on yet.


And that’s how it happened, believe me it’s true, because, just because a little bug got scripted.

TAGGED: data quality
DataQualityEdge March 30, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Best Practices Big Data Data Collection Data Management Privacy
data protection for SMEs
8 Crucial Tips to Help SMEs Guard Against Data Breaches
Data Management
How AI is Boosting the Customer Support Game
How AI is Boosting the Customer Support Game
Artificial Intelligence
AI analytics
AI-Based Analytics Are Changing the Future of Credit Cards
Analytics Artificial Intelligence Exclusive

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read
data lineage tool
Big Data

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

6 Min Read
data quality and role of analytics
Data Quality

Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

8 Min Read
data collection with drone use
Data Collection

Quality Control Tips for Data Collection with Drone Surveying

9 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
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
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?