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
    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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Stakeholders
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > The Stakeholders
CRMData MiningPredictive Analytics

The Stakeholders

romakanta
romakanta
4 Min Read
SHARE

According to the Encarta dictionary a stakeholder is a person or group with a direct interest, involvement, or investment in something.

The most important task faced by a Data Miner is to understand the client’s business background and arrive at the business and data mining objectives by asking the relevant, right questions to the right people. And the right people here are the so-called stakeholders; and identifying them makes the job half done!

According to Dorian Pyle, these stakeholders can be divided into five groups:

1. Need Stakeholders – People who actually experience the business problem regularly, in their work. In most situations, they have developed intuitive ideas about what is causing the problem, what is the solution, and how it should be applied. They often expressed their needs as an expected/desired solution, and not as a description of the problem.

More Read

We Need A Smarter Grid
VM’s and Roses – Virtualisation City
No one needs application servers or big, stupid ESBs
HCIR: Better Than Magic!
For most of the last century, our electrical grids stood as an…

2. Money Stakeholders – People who will commit the resources that allow the project to move forward. The business case document written to support modeling/the data mining project is mainly addressed to these people. It is usually not possible for this stakeholder to say “yes” to a project – that is the prerogative of the…


According to the Encarta dictionary a stakeholder is a person or group with a direct interest, involvement, or investment in something.

The most important task faced by a Data Miner is to understand the client’s business background and arrive at the business and data mining objectives by asking the relevant, right questions to the right people. And the right people here are the so-called stakeholders; and identifying them makes the job half done!

According to Dorian Pyle, these stakeholders can be divided into five groups:

1. Need Stakeholders – People who actually experience the business problem regularly, in their work. In most situations, they have developed intuitive ideas about what is causing the problem, what is the solution, and how it should be applied. They often expressed their needs as an expected/desired solution, and not as a description of the problem.

2. Money Stakeholders – People who will commit the resources that allow the project to move forward. The business case document written to support modeling/the data mining project is mainly addressed to these people. It is usually not possible for this stakeholder to say “yes” to a project – that is the prerogative of the decision stakeholder – but they can easily say “no” if the numbers aren’t convincing.

3. Decision Stakeholders – People who make the decision of whether to execute the project. Someone very important but difficult to identify as this person is not directly involved with the data miner but relies instead on input from people who have interacted with the data miner.

4. Beneficiary Stakeholders – People who will get the benefit of the results of the data mining project/model; people who will be directly affected. They usually have the ability to promote the success or bring about the failure of many data mining projects.

5. Kudos Stakeholders – People who have sold the project internally. Credit for the project’s success will accrue to them, so will the negative impact of a less than successful project. Very important to understand from these people what it is that determines success, and how the project result will be evaluated.

http://datalligence.blogspot.com/

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

TwitChimp.com Beta Announced: Seeking early adopters who use Twitter to gain insights

1 Min Read
Predictive Analytics
Big DataPredictive Analytics

Harnessing the Power of Big Data, Machine Learning, & Predictive Analytics

6 Min Read

ACM Data Mining Talk: Representing Solutions with PMML

2 Min Read

Looking at Trees to Understand the Forest

6 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 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?