Let’s say you need to integrate some customer data.  What’s it going to cost you?
You might think a white paper titled “Insider’s Guide to the True Cost of Data Quality Software” from Innovative Systems, Inc. (www.innovativesystems.com) would provide some useful insights.  And I suppose it does, by listing five cost categories that make sense:
- vendor evaluation and selection
- contract negotiations
- installation, training and software tuning
- ongoing use and maintenance
- licensing and subsequent year fees
But the real thrust of this paper is that you can save a lot of time and money by skipping a structured selection process and building a prototype.
It just about goes without saying that prototyping is a particular strength of  Innovative Systems.  According to the white paper itself, its products achieve the “fastest implementation in the industry” through “unmatched knowledgebases” (no pun intended, I suspect) that minimize custom tuning.  
I’m not so sure I accept this particular claim, since several other vendors also offer specialized knowledgebases.  But my real quarrel is with the notion of prototyping as a “faster, more cost-effective alternative to a formal vendor review.”  
Simply put, a prototype is not a thorough test of product’s abilities.  In most cases, it is limited to a sample of data from a subset of sources with a cursory review of the results.  So prototypers learn quite a bit about the system set-up, user interface and reporting, but much less about true quality and scalability.  Although I strongly encourage prototyping as part of structured selection process, it does not replace careful requirements definition and evaluation of alternative products against those requirements.  Excluding products that cannot perform a quick prototype may make sense for Innovative Systems, but not for companies that want to ensure they find the best system for their needs.  Similarly, minimizing the cost of a solution without taking into account the quality of its results is short-sighted.  After all, the cheapest solution is to buy nothing at all—but that obviously does not give an adequate result.
Monday, November 06, 2006
Subscribe to:
Post Comments (Atom)
 
 
 
 
No comments:
Post a Comment