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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Getting Started with an Integration Competency Center (ICC)
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Getting Started with an Integration Competency Center (ICC)
Best PracticesBusiness IntelligenceCulture/LeadershipInside CompaniesPolicy and Governance

Getting Started with an Integration Competency Center (ICC)

RickSherman
RickSherman
3 Min Read
SHARE

Word_ICC004 In the last several posts we discussed how critical data governance programs are to the success of EDW, MDM, CDI and really any enterprise-wide integration initiatives. The corollary to data governance is an Integration Competency Center (ICC).

Word_ICC004 In the last several posts we discussed how critical data governance programs are to the success of EDW, MDM, CDI and really any enterprise-wide integration initiatives. The corollary to data governance is an Integration Competency Center (ICC). Both involve people, processes, procedures and a lot of politics. Data governance establishes the business processes for data ownership and stewardship for an enterprise. The ICC is what implements these processes from an architecture and technology perspective.

Let’s step back and look at how IT projects, especially those with significant integration components, are generally implemented in companies today.

First, IT systems are most often built on a project-by-project basis. These projects are tactical and stand-alone. Each project starts with a clean slate: selecting integration software; acquiring skilled resources; getting training; establishing processes, procedures and standards; developing the integration application; and finally deploying it. Often, this is the first time that the team is using the integration technology, so a lot of time is spent learning the product, rather than expertly leveraging the integration technology.  (That only happens when the team has broad and deep integration knowledge and experience.)

More Read

How Customer Engagement will determine winning brands in Social Era
Big Blue Knows How to Blog
All Predictive Models Are Wrong – So What?
Myth or Fact : The Diminishing Marginal Returns of Variable Creation in Data Mining Solutions.
No Shortcuts: Focus on DW/BI Architecture and Processes, then Think about the Tools

Second, there is a historical divide with DW or BI systems and operational systems and applications, such as ERP, CRM and SCM. This divide typically involves budget, organization, projects, products and perspective. 

Third, various integration technologies, such as ETL, EAI and EII are viewed as separate, competing integration technologies. Each technology is used for a separate project, and each project team feels that it alone has the answer to the company’s integration problems.

Finally, business groups have a tendency to fund and implement applications for their own needs.  (This is not surprising.) This further reinforces IT projects being organized in a silo and tactical manner.

What’s the result of all this? This bottom-up approach to integration initiatives means projects are continuing to re-invent the wheel by learning integration technologies rather than leveraging expertise in integration, gained through re-use.  It’s time to “see the forest from the trees” and establish a top-down approach to integration initiatives. Business groups are organized by function, e.g. finance and sales, shouldn’t IT think broader than their project focus? Why should each project re-invent the wheel?

If you want to implement data governance then it’s time to implement an ICC. The best way to ensure cost-effective and productive enterprise-wide integration is to implement the complementary processes of data governance and ICC.

TAGGED:Integration Competency Center
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

online business using analytics
Why Some Businesses Seem to Win Online Without Ever Feeling Like They Are Trying
Exclusive News
edi compliance with AI
AI Is Transforming EDI Compliance Services
Exclusive News
companies using big data
5 Industries Driving Big Data Technology Growth
Big Data Exclusive
software developer using ai
California AI Companies That Are Set for Long-Term Growth
Development Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Business or Technology: Who’s the Boss?

3 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
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?