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
    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
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: IBM and ILOG – Java, COBOL AND .Net
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 > IBM and ILOG – Java, COBOL AND .Net
Business IntelligenceCRMData MiningPredictive Analytics

IBM and ILOG – Java, COBOL AND .Net

JamesTaylor
JamesTaylor
3 Min Read
SHARE

Copyright © 2009 James Taylor. Visit the original article at IBM and ILOG – Java, COBOL AND .Net.Continuing my series on the opportunity for IBM now it has completed its acquisition of ILOG, I wanted to discuss multi-platform support in the ILOG BRMS. This is an issue because there is an apparent tension between IBM’s […]


Copyright © 2009 James Taylor. Visit the original article at IBM and ILOG – Java, COBOL AND .Net.

Continuing my series on the opportunity for IBM now it has completed its acquisition of ILOG, I wanted to discuss multi-platform support in the ILOG BRMS. This is an issue because there is an apparent tension between IBM’s behavior over the last few years and ILOG’s:

  • IBM is seen as a very Java-centric company
    IBM’s recent focus has been on Java-based products and support for Java-centric development. Products like WebSphere Process Server and WebSphere Business Events are built on Java and IBM’s developer tools like Rational are focused on developing Java applications
  • ILOG has been moving beyond its Java roots
    ILOG has a COBOL version of its BRMS as well as a sophisticated .Net product with some very nifty integration with Microsoft Office to bring rule management to business users.

As IBM absorbs ILOG it will be important that it continue to invest is this multi-platform approach. Not only are there some nice features in the .Net product (that I for one would like to see available to the Java product) but decision management with business rules is, for most companies, a multi-platform problem. The value of using business rules to decision management comes in part from making sure the same rules are used everywhere they are supposed to be used. While deploying business rules in Decision Services on SOA makes this easier, the best solution is to allow the rules to be packaged up and deployed as Java components, Web Services, .Net assemblies or COBOL code so that they can run natively on all the platforms that run the business.

More Read

Here comes the Cloud Slam !!!!!!
Leveraging Customer Data to Drive Business Decisions
#13: Here’s a thought…
Soccer player predicted as the top rising star – back in November (video)
Internal BI Promotion Video from the SAP BI Competency Center

I hope, and expect, that IBM will continue to invest in all the ILOG BRMS platforms not least because of the potential for business rules in legacy modernization. But that’s a topic for another day…

Previous


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Barcelona: Do more with your data

0 Min Read

Segmentation is About Precision

2 Min Read

The Brave New World of Business Intelligence

4 Min Read
big data helping education sector
Big DataBusiness IntelligenceDecision ManagementWorkforce Data

How Big Data And Education Can Work Together To Help Students Thrive

6 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?