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: Here’s how to prevent mistakes in analytic projects with decision management
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Here’s how to prevent mistakes in analytic projects with decision management
Predictive Analytics

Here’s how to prevent mistakes in analytic projects with decision management

JamesTaylor
JamesTaylor
3 Min Read
SHARE

Syndicated from ebizQ

Robert Grossman had a nice post – Five Common Mistakes in Analytic Projects that made me think about the role of decision management in putting predictive analytics to work. Of Robert’s 5 mistakes, 3 are directly addressed by decision management:

  • There is not a good plan for deploying the model
    Because decision management is focused on applying models in operational systems and because it combines a focus on business rules to automate decisions with analytics to make them smarter, there is always a plan for deploying the model with decision management.
  • Working backwards, instead of starting with an analytic strategy
    Decision management always begins with the decision in mind – focusing on the desired outcome, using that to drive the definition of the analytic project and thus the data to be integrated etc.
  • The predictions of the model are not actionable
    Decision management provides a framework for doing exactly what Robert suggests – understanding the measures for a decision (part of decision discovery), defining the actions …


Copyright © 2009 James Taylor. Visit the original article at Here’s how to prevent mistakes in analytic projects with decision management.

More Read

Can the Future of Mobile Be Found in Social? CI & CNBC Use Social Media Analytics to Find Out
Web 2.0 Data Scalability
Will Predictive Analytics and POS Save Small Retailers from Extinction?
Two analysts’ stories
“Long Data”: The 15-Second Video to Big Data’s Snapshot

Syndicated from ebizQ

Robert Grossman had a nice post – Five Common Mistakes in Analytic Projects that made me think about the role of decision management in putting predictive analytics to work. Of Robert’s 5 mistakes, 3 are directly addressed by decision management:

  • There is not a good plan for deploying the model
    Because decision management is focused on applying models in operational systems and because it combines a focus on business rules to automate decisions with analytics to make them smarter, there is always a plan for deploying the model with decision management.
  • Working backwards, instead of starting with an analytic strategy
    Decision management always begins with the decision in mind – focusing on the desired outcome, using that to drive the definition of the analytic project and thus the data to be integrated etc.
  • The predictions of the model are not actionable
    Decision management provides a framework for doing exactly what Robert suggests – understanding the measures for a decision (part of decision discovery), defining the actions to be taken – the rules (part of decision service development) and analyzing the results to understand what works and what does not (decision analysis).

Analytic projects can still go wrong, even when conducted in a decision management framework but decision management can help maximize the value and minimize the risk of your analytic projects.


Link to original post

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

Using decision management to prepare for an unknown future

3 Min Read

Is the Relational Database Doomed?

1 Min Read

NYPD and Microsoft Create a Next Generation Law Enforcement Big Data Solution

4 Min Read
Image
Big DataPredictive AnalyticsSoftware

Embedding Predictive Analytics in Your Software Product

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?