The Importance of Data Integration in the Era of Cloud Computing

Earlier today I stumbled across this succinct post by David Linthicum on the ebizQ site, “Leveraging Information and Intelligence.”  Great opening line:

“As cloud computing begins to gain traction within the enterprise, there seems to be a refocus on data integration.”

Agreed.

David makes the point that integration often goes unaccounted for in terms of cost and complexity as more and more applications move to the cloud. But as he points out, experience shows that “data integration is systematic to everything.”  So as you move more apps to the cloud and begin to think about loading, replicating, synchronizing, monitoring, and integrating data across multiple systems (including on-premise of course), here are some of the on-demand data integration ROI benefits to consider:

  • Business user graphical interface (users should be able to get up and running quickly with minimal training)
  • No coding, no software (therefore less IT involment required)
  • Rapid deployment (go live in in days or weeks)
  • Upgrades at no cost (look for multitenancy)
  • Security and data integrity (look for SAS-70 compliance)
  • Real time monitoring and scheduling over the web
  • Connectivity to a broad range of business applications
  • Vendor visibility into your usage and adoption (aka a focus on customer success)
  • Subscription pricing (capex vs. opex)

I hope you’ve enjoyed the first week of this blog. I’ve also extended the SaaS Business Intelligence LinkedIn group to include Integration. You’re welcome to join the discussion there as well.

Have a great weekend!

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4 Responses to “The Importance of Data Integration in the Era of Cloud Computing”


  1. 1 Andrew Lampitt 2009/08/15 at 5:43 am

    Congrats, Darren, on your new gig at Informatica, and even bigger congrats to Informatica for landing a stellar marketer.

    Very interesting to expand the context of your blogging and LinkedIn group from the analysis/reporting context to include data integration. As I learned at my days at ETL/E-LT vendor Sunopsis (now Oracle), data integration is key to any successful BI solution, and it typically accounts for more than 50% of the costs and efforts.

    I wonder your and your readers’ take on enterprise data integration using semantic web technologies as the vehicle, particularly for the cloud. Specifically I am speaking of using semantic web ontologies to integrate structured data, rather than NLP for unstructured data. (That’s what we have achieved at zAgile, specifically for the software engineering domain so that we can integrate information across any tools for optimal collaborative software engineering.) It seems that this approach would be even more pertinent in the cloud.

    (As an aside, I also wonder if Oracle is investigating this approach in their Fusion Project, to integrate e-Business Suite, JD Edwards, Peoplesoft, Siebel, etc. A base ERP/CRM ontology would admittedly be a huge undertaking, and accomodations would need to be made to propagate ERP/CRM customizations to the corresponding ontology for each customer. but the approach would provide very deep, interoperability.)

    One could imagine tomorrow’s data warehouse will be fed by this ontology-based master data management solution, especially in a cloud scenario.


  1. 1 Questions to Ask On-Premise Software Vendors About the Cloud « In(tegrate) the Clouds Trackback on 2010/03/23 at 1:03 pm
  2. 2 SaaS Integration Solution for On-Premises Data Integration Projects « In(tegrate) the Clouds Trackback on 2010/05/24 at 4:53 pm
  3. 3 BBC News on Cloud Computing: Going Beyond Buzzwords « In(tegrate) the Clouds Trackback on 2011/03/25 at 2:48 pm

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