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.)
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.
