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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Mining Book Review: Decision Management Systems
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 > Decision Management > Data Mining Book Review: Decision Management Systems
Book ReviewDecision ManagementPredictive Analytics

Data Mining Book Review: Decision Management Systems

SandroSaitta
SandroSaitta
3 Min Read
Data Mining Book Review: Decision Management Systems
Illustrative image generated with OpenAI gpt-image-1.
SHARE

I recently read the last book from James Taylor, Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics. As a data miner, I was interested by the subtitle of the book. Although, the book is really well written, I’m a bit disapointed regarding the content for someone in analytics. I was expecting real methodologies and examples to move from analytics to actions in the company. How to successfully apply predictive analytics in the industry. The books only partly answer this question and gives mainly examples of business rules and how they are applied in companies.

If you come from the business side (e.g. C-level), the book may be interesting but the explanations about predictive analytics are quite light and you won’t see all benefits of these techniques in the company. I know that the main focus of the book is not about teaching analytics. It seems also not to be about filling the gap between analytics and action. I’m thus a bit confused about the real objective of the book. It is also explaining concepts at a very high level of abstraction. It is thus not directly usable in practice.

The book is divided in three parts. In the first part, James explains what are DMS and why they are useful for the company. The second part focuses on building these DMS. The third part is about the enablers (people, processes and technology), i.e. the aspects that will allow such DMS to be a successful initiative. Personally, I found the book very interesting starting from chapter 6 (Design and Implement Decision Services). The topic of fraud detection and prevention is very well studied throughout the book.

A very strange choice has been made to repeat in full text the expression Decision Management Systems hundreds of times. It thus make the reading sometimes a bit tiring. The simple use of the abbreviation DMS would have solved this issue. To conclude, I found the book interesting and well written. However, keep in mind that it is written with a very high level of abstraction. You will thus have a clear understanding of the domain, but no practical advices.

More Read

Big Data: Will Open Source Software Challenge BI & Analytics Software Vendors
Big Data: Will Open Source Software Challenge BI & Analytics Software Vendors
CVM Combined with Analytics
“My question during today’s Q&A session was…
Social Analytics?
Big Data and the Analytics Arms Race

Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue -- AI-generated illustration
How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue
Business Intelligence
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs -- AI-generated illustration
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs
Big Data Exclusive
How Business Intelligence Can Help Small Businesses Build Better Decision Rules -- AI-generated illustration
How Business Intelligence Can Help Small Businesses Build Better Decision Rules
Business Intelligence Business Rules Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Decision Tree Bagging
Business IntelligenceData MiningPredictive Analytics

Decision Tree Bagging

4 Min Read
Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?
Predictive AnalyticsSentiment AnalyticsText Analytics

Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?

4 Min Read
Are You A Data Whisperer?
Business IntelligenceData QualityDecision Management

Are You A Data Whisperer?

4 Min Read
Update on the 6 March 2012 Government Big Data Forum
AnalyticsBest PracticesCulture/LeadershipData MiningKnowledge ManagementPolicy and GovernancePredictive AnalyticsSecurity

Update on the 6 March 2012 Government Big Data Forum

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
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?