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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 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

Forex trading
Big Data is Cutting Spreads and Making Forex Trading More Cost-Effective
The Dirty (Not so Secret) Secret of IT Budgets
“Big Data” Is Coming, “Big Data” Is Coming:
Now introducing Decision Simulation
9 Amazing Ways Big Data Is Used Today to Change the World

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

NO-CODE
Breaking down SPARC Emulation Technology: Zero Code Re-write
Exclusive News Software
online business using analytics
Why Some Businesses Seem to Win Online Without Ever Feeling Like They Are Trying
Exclusive News
edi compliance with AI
AI Is Transforming EDI Compliance Services
Exclusive News
companies using big data
5 Industries Driving Big Data Technology Growth
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Technology behind Social Media Analytics – An interview with Greg Greenstreet, CTO, SVP Engineering of Collective Intellect

11 Min Read

“A a fisherman miles off the coast of Galway hauls in his nets and assesses his catch, he pulls out…”

3 Min Read

Data Preparation: Know Your Records!

4 Min Read

Business Analytics – Opposition or Proposition?

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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
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.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?