We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Understanding Value
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 > Understanding Value
Uncategorized

Understanding Value

TeradataAusNZ
TeradataAusNZ
4 Min Read
Understanding Value
Illustration generated with FLUX.1 [schnell] via Cloudflare Workers AI.
SHARE

It is interesting when we talk about the value of a customer (sometimes referred to as profitability). There are a number of different rules of thumb presented as the best way to derive value; the approach tends to be determined by the use of the outcome. Marketing wants to understand value to be able to differentiate services and offers, while finance wants to reconcile to the GL, and so on. Some approaches have flexibility to be a little wrong and others strive for perfection. So there is no wonder that the conversation of customer value causes so much excitement in organisations.

The challenge that becomes evident very quickly is that there is no such thing as the perfect model or a right way to build a model, there is only a wrong way in the eyes of the end users. Users will never use a model once it has been deemed incorrect for purpose, hence the proliferation of profitability models in organisations. In my experience organisations have at a minimum three different profitability based models, there is no wonder that a profitability conversation is so passionate! How do you move towards accepting a single model?

The adoption of any model takes time, people need to understand the rules and assumptions that have been used when building the model, for all users to agree to its make up. Education needs to evolve with the capabilities of the organisation and model to ensure that people stay onboard. The complexity of the model needs to provide the end users of the model with the information required to perform their jobs.

More Read

Eyewitnesses Get It Wrong: An Argument for Data-Driven Decision Making
Eyewitnesses Get It Wrong: An Argument for Data-Driven Decision Making
The evolving nature of IT partnerships
Are You a Data Hoarder? Learn How to Manage the Clutter
Analytics at Work
3 Ways Counterintuitive Data Can Negatively Affect the Customer Experience

The only gotcha is that the model needs to have the ability to become more complex over time, using more detailed information and more detailed rules as the organisation matures. On day one, no user is going to be interested in drilling down five levels to understand the why’s. But in time they will, consequently the model needs to be able to support detailed investigation not just a score without any context.

 

Daniel Tehan

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is the hypervisor as the abstraction layer that makes hybrid cloud p
7 Best Virtualization Platforms for Hybrid Cloud Environments
Big Data
Flat editorial illustration: The article's core relationship is between aggregated workplace data (occupancy, environmental, feed
How Businesses Can Use Workplace Data to Create Better Office Environments
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive
Preparing Data Systems and Governance for a Scaling Global Gaming Brand -- AI-generated illustration
Preparing Data Systems and Governance for a Scaling Global Gaming Brand
Big Data Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Businesses Must Make Self-Service Reporting a Priority
Uncategorized

Businesses Must Make Self-Service Reporting a Priority

8 Min Read
Top Six Traits of a Data Champion
Uncategorized

Top Six Traits of a Data Champion

6 Min Read
4 Retail BI Lessons to Learn from Google's Nexus Fail
Uncategorized

4 Retail BI Lessons to Learn from Google’s Nexus Fail

5 Min Read
What Does the Modern IT Team Look Like?
Uncategorized

What Does the Modern IT Team Look Like?

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?