By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Universal Decision Engine – How so?
Share
Notification Show More
Latest News
big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Decision Management > Universal Decision Engine – How so?
Business IntelligenceDecision Management

Universal Decision Engine – How so?

CMatignon
Last updated: 2012/08/21 at 2:00 PM
CMatignon
4 Min Read
SHARE

What a fabulous idea: having a centralized decision service!  For any checkpoint in the enterprise, you could hit a written-once decision service.  Beyond the maintenance savings, consistency is a Holy Grail that appeals to business owners.

What a fabulous idea: having a centralized decision service!  For any checkpoint in the enterprise, you could hit a written-once decision service.  Beyond the maintenance savings, consistency is a Holy Grail that appeals to business owners.

Centralized Decision ManagementWhat is a centralized decision service?

As an oversimplification, we draw a box in the architecture blueprint: “decision service” or “decision engine”.  Et voila!

More Read

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

5 Proven Tips for Utilizing AI with PPC Advertising in 2023
5 Ways AI Technology Has Disrupted Website Development
Fortifying Enterprise Digital Security Against Hackers Weaponizing AI
10 Ways How Artificial Intelligence Is Changing the Content Writing Landscape

Architecture is rarely that simple though…  There are at least two components to consider and what is “universal” is not necessarily ‘universally understood’.

Centralized Management

This is clearly the main objective.

If Joe is codifying the new batch of regulations for 2013 in the order entry system, and Susan is repeating the same logic in the fulfillment process, and Tom is doing the same thing in the billing system, we end up with a lot of waste of time on one end, and higher odds of errors / inconsistencies.  Regardless of the systems that will consume the capture decision logic, the biggest savings are in the maintenance of this logic.  If we write it only once then we can free up Susan and Tom’s time, and remove any chances of inconsistency.  Or they might team up and do the work in a third of the time!

Decision management technologies are used to isolate the capture of the logic from the code that will execute in the end, allowing the business rules to be stored and managed in a centralized repository.  The team might be spread out all around the world, collaborating on the crafting of the decision logic, writing business rules and testing that the decision outcome matches expectations.

Centralized Deployment

This is a little more subtle.

We want the decision logic to execute in all those disparate systems: order entry, fulfillment process and billing system in our previous example.  And I saw many blueprints that drew a link from each one of those systems to an actual deployed decision service.  The links could have been loose bindings, but, more often than none, they were API calls in the J2EE fabric or .NET infrastructure.  Each system could get the same decisions made consistently by running the exact same piece of code for all of them.

Universal Decision Engine

In reality though, it is rare that businesses can afford to re-engineer all of your systems to fit in the same architecture.  Beautiful greenfield project…  But rare.

So how do businesses take advantage of centralized decisions?  They simply deploy the rules in the mode that is the most appropriate for the consuming applications.  It might mean that the same rules end up in different execution components.  Maybe your order entry is J2EE-based but your billing system is .NET.  Getting your inter-compatibility right may be more headache than you have appetite for.  The main driver is often performance: in order for your systems to run efficiently, you might need to balance the execution in local modules.  They may be part of the fabric, and load-balanced by your infrastructure, or not.

Universal Decision Repository

A little irony

This is where it gets odd.  In our terminology, we think and we speak of a centralized decision service, which is technically a deployment thing…  but we really mean a management thing…

 

CMatignon August 21, 2012
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

6 Min Read
ai in ppc advertising
Artificial Intelligence

5 Proven Tips for Utilizing AI with PPC Advertising in 2023

10 Min Read
ai in web design
Artificial Intelligence

5 Ways AI Technology Has Disrupted Website Development

7 Min Read
Digital Security From Weaponized AI
Security

Fortifying Enterprise Digital Security Against Hackers Weaponizing AI

11 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?