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
    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
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Decision Management and software development I – Agile
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 > Decision Management and software development I – Agile
Business IntelligenceCRMData MiningPredictive Analytics

Decision Management and software development I – Agile

JamesTaylor
JamesTaylor
5 Min Read
SHARE

Last week I posted Focusing on decisions to improve the software end product and I decided that this week’s posts would be a series of follow-ups on how decision management can and should impact software development. Today on how it should impact/be a part of Agile, tomorrow on Model-Drive Engineering and Thursday on DSLs (Domain Specific Languages).

In the article I started to discuss the incongruity of developers claiming to follow the Agile tenets and yet still insisting on writing procedural code that no business user could possibly read. In particular, how can you collaborate with someone who can’t read what you are writing and how can you be responsive to change if any change requires a development cycle, even an Agile one?

If, in contrast, you applied decision management in an Agile environment you would see some real differences:

  • Business users, business analysis and programmers could collaborate around the same code (business rules) and everyone could understand what it did.

    Because business rules languages are declarative and verbose, business users and analyst…

More Read

AI digital calendars
AI Boosts Business Productivity with Open Source Calendars
How the Healthcare Industry Can Save Big with Big Data
The Fallacy of the Data Scientist Shortage
Leveraging Data with Business Intelligence Analytics Tools
Rexer Data Mining Survey Results


Copyright © 2009 James Taylor. Visit the original article at Decision Management and software development I – Agile.

Last week I posted Focusing on decisions to improve the software end product and I decided that this week’s posts would be a series of follow-ups on how decision management can and should impact software development. Today on how it should impact/be a part of Agile, tomorrow on Model-Drive Engineering and Thursday on DSLs (Domain Specific Languages).

In the article I started to discuss the incongruity of developers claiming to follow the Agile tenets and yet still insisting on writing procedural code that no business user could possibly read. In particular, how can you collaborate with someone who can’t read what you are writing and how can you be responsive to change if any change requires a development cycle, even an Agile one?

If, in contrast, you applied decision management in an Agile environment you would see some real differences:

  • Business users, business analysis and programmers could collaborate around the same code (business rules) and everyone could understand what it did.

    Because business rules languages are declarative and verbose, business users and analysts can read and write them. No errors of transmission, no confusion as to what the “code” means.

  • Business users and business analysts could be empowered to make some of their own changes so that the whole system was more responsive to change.

    Business rules management systems provide all sorts of tools for exposing all or some of the rules and all or some of their structure to business users to modify. A BRMS also handles updates of these rules so there is no (or at least much less) need for the whole specify/code/test/deploy cycle.

  • The business logic would not need any documentation even for the business users as they could read the logic as written in the business rules.
  • The business rules would be the specification so that there was only a single source for the logic – the rules themselves.

    And of course a BRMS manages these rules in a repository with versioning, audit trails, impact analysis and more.

  • For many decisions the developers would simply create the shell of the decision and then let the business users and analysts create, modify and evolve the business rules for themselves.

I am sure that developers who claim they are following the Agile tenets while using traditional code mean well, but are they really Agile? Personally I doubt it. Unless the business is part of the project in a meaningful way they cannot be and with most coding languages that’s just not possible.

Decision management makes Agile software development truly Agile.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Business Intelligence and Analytics is for Speedy Businesses

3 Min Read
data-driven marketing
Artificial Intelligence

How Startups Can Formulate Data-Driven Marketing Strategies Using AI

11 Min Read

Creating an Event Based Marketing (EBM) Plan

3 Min Read

HealthMiner, an application that analyzes patient data, was…

1 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
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?