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
    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 analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 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

As we witness our society racing ahead with…
Predictive Analytics in your iPhone
Strata Review by Ted Leung
Great Analytics Vendors: 5 Must-Have Traits
REvolution Computing training series announced

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

payment methods
How Data Analytics Is Transforming eCommerce Payments
Business Intelligence
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Technology Problems With Social Media ROI

7 Min Read

Data Mining Combined With Predictive Modeling Equal 3D Data Visualization

3 Min Read
Image
AnalyticsBig DataPredictive Analytics

Predictive Analytics Presents: A Typical Day in 2020

7 Min Read

Early Indications October 2010: The Analytics Moment: Getting numbers to tell stories

15 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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?