Analytics

Data Integration: Dos and Don’ts

26th Jun `14, 02:46 PM in Analytics

Many enterprises deployed some sort of data integration technology within the last 20 years.  While many enterprise insiders…

BDMS
Guest Contributor
 

Many enterprises deployed some sort of data integration technology within the last 20 years.  While many enterprise insiders believe they have the problem solved, most don’t.  My advice?  There needs to be a continued focus on what the technology does, and what value it brings to the organization.

Data integration is not something you just drop in and hope for the best.  There needs to be careful planning around its use.  IT is the typical choice to do the planning, select the technology, and for ongoing operations.

However, the need for data integration typically comes from outside of IT.  Those who understand that data should be shared between systems, as needed and when needed, in support of core business processes, are typically the ones crying for more and better data integration technology.  IT responds to those requests reactively.

Now things are changing more quickly than they have in the past, including new impacts on IT as well as end users.  Specifically, these changes include:

1. The use of public cloud resources as a place to host and operate applications and data stores.  This increases the integration challenges for enterprise IT, and requires a new way of thinking about data integration and data integration technology.

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