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
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Standard processes, custom decisions
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 > Standard processes, custom decisions
Decision Management

Standard processes, custom decisions

JamesTaylor
JamesTaylor
4 Min Read
SHARE

I gave a webinar on Smarter ERP with Decision Management and one of the tweets during the presentation – “Standard processes, custom decisions” prompted a few requests for more details. So, here goes.

I gave a webinar on Smarter ERP with Decision Management and one of the tweets during the presentation – “Standard processes, custom decisions” prompted a few requests for more details. So, here goes.

When I talk to companies about their ERP implementations we often end up discussing the balance between standardization/globalization and flexibility/localization. These companies invested in an ERP system or other enterprise application in part (sometimes in large part) to get a standard system – standard data, standard processes, globally enforced. But when they come to implement it they find that local variations or product-specific exceptions undermine this attempt at standardization. They end up as one company said to me with a “worldwide standard process with hundreds of local exceptions”. This is far from idea as they know have to manage a much more complex process – the actual process has hundreds more elements than the original “simplified” process that was envisioned. This reduces agility, increases risk of errors and problems, reduces the ability of the various groups involved in the process to share and collaborate, and makes it harder to spot opportunities to improve the core process. Plus the process diagram is ugly.

More Read

Who will manage Big Data?
Decision Management Systems drive the second economy
Using Big Data to Reduce Home Energy
Planning for the turned-around economy? Cloud Computing and SaaS can help.
Big Data Analytics in Latin America: Stormy Waters, but the Tide is Rising

In many of these cases, though, it is not the process that needs local exceptions but a decision within the process. Because the original process design did not explicitly identify the decisions within the process (they were probably pretty simple in the global version anyway), exceptions are seen as exceptions to the process. But if the decisions are called out, often the exceptions are clearly related to a decision. In a standard order to cash process with a “what is the customer discount?” decision might have local exceptions while in the supplier onboarding process the local variations might be in the “is this a complete, valid set of supplier data?” decision. In fact this last one was a concrete example I came across while writing the chapter on business rules and decision management for Applying Real-World BPM in an SAP Environment. This company found that if it externalized the decision that validated the supplier data as complete it could use a standard onboarding process (and a much simpler one) while still allowing different countries to have different tax IDs or company types for example. All the local variation was encapsulated as rules in the validation decision.

Of course this does not make the exceptions go away. But it does help you separate concerns – process in process management, decision in decision management – and use a technology ideally suited to handling lots of rules and figuring out the right ones to apply (a business rules management system).

Other relevant posts include this one on using business rules in stable business processes, this one on using decisions and decision management to simplify business processes and this webinar on simplifying processes with decision management.

@skemsley @intelligentform @alecsharp – that enough?

Copyright © 2011 http://jtonedm.com James Taylor

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Actionable Information Governance

12 Min Read

Less Wrong: Using Predictive Analytics to Improve Budgeting

3 Min Read

Analysts Don’t Get No Respect – SDC Blogarama topic for November 14

2 Min Read

Zynga: A Big Data Company Masquerading as a Gaming Company

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?