Fernando Labastida: Technology, Austin, Latin America

Gartner’s  report in Tekrati about 9 cost-cutting measures for the tough economic times has a chock full ‘o’ tips for corporations on how to cut costs in their data management initiatives. You can click on the above link for the full report, but here are my comments on a few of the points:

Optimize Data Integration Tools Licensing: Gartner notes typical investments in data integration tools of $200,000 - $500,000, and $50,000 to $100,000 for annual maintenance.  If companies are spending this much on data integration then they seriously need to consolidate.  If you want to cut costs for the hard times, cut out the expensive, kludgy, inflexible data integration tools. And if you think you’re going to lose functionality then you’ve fallen victim to the slick marketing campaign of the super-expensive data integration vendor.

Leverage Established Data Structures and Data Integration Processes: Gartner here touts the benefits of re-use of data related assets built in the past.  In my opinion this is one of the principle driving factors in standardizing on a data integration tool, the ability to re-use data integration processes.  If data integration processes are not easily re-usable then there are no efficiencies to be gained by acquiring a data integration tool.  Easy re-usability should be at the top of anybody’s list of deciding factors when looking at consolidating (see above) on integration vendors.

Defer Replacement of Custom-Coded Architectures: Gartner, I believe, is talking about the opportunity cost of directing labor to the non-productive activity of learning a new data integration tool and replacing custom code that works, as well as the expense involved (again, they mention the exorbitant amount of $100,000 to $500,000 for data integration tools) in acquiring data integration software. Any integration tool worth it’s salt should be architected to “integrate” already existent custom-coded processes that work without having to replace everything, and without forcing a company to invest that much in licensing and maintenance costs.  Again, “big iron” integration vendors have done such a great marketing job that it is generally believed current custom-coded processes necessarily have to be replaced by a data integration tool.  Not so.  A data integration tool should incorporate what has already been done, serve the purpose of making subsequent integrations easy to implement, and require less than $100,000 in licensing.

Explore Open Source Licensing: Open source data integration tools, again, in my humble opinion, would end up costing corporations more, not less.  They typically offer a very reduced set of adapters and connectors, forcing corporatons to custom code connections to the APIs of those applications they want to connect to.