Accelerate solution delivery with evolutionary database development
IBM_Optim 27000269HS Comments (2) Visits (2010)
I was looking at Scott Ambler’s surveys on IT project success rate. It is very interesting how project success as seen through Scott’s surveys present a more hopeful picture for project success than from the Standish Group’s Chaos Report, which in its 2006 refresh reported a 35% success rate and a 46% “challenged” rate. (Nice blog entry summarizing a variety of research on the topic in Dan Galorath’s blog and 2006 Standish numbers from an SD Times article.) Standish defined success as “on time, on budget, meeting the spec”, while challenged means they had cost or time overruns or didn’t fully meet the user’s needs. But I digress…
Scott’s data indicates that projects that use evolutionary development methodologies, e.g. Agile or Rational Unified Process, fare better than those using traditional waterfall or ad-hoc processes. That’s not surprising given the emphasis on tight collaboration among stakeholders and continuous evolution and validation. Really, it’s pretty intuitive. So I was thinking about key characteristics of iterative methodologies and how they relate to database and data access development. (I know, Scott has already thought about this too.
See his Agile Data site. And Rafael did a Webcast on it earlier in the year.) But more specifically, I wanted to look at how our Data Studio portfolio supports evolutionary development methodologies. Yes, there’s more to do, but I think what we offer goes a long way towards accelerating solution delivery with high quality results. Vijay and I are going to do a Webcast on this April 28th titled Accelerating Solution Delivery for Data-Driven Applications. Hope you’ll join us.
In some ways, this is also the companion Webcast to Rafael’s Performance Optimization webcast. In his blog, he talked about how from a lifecycle perspective performance optimization can broken down into doing it right the first time or fixing it after that fact. His Webcast focused on the latter and this one on the former.
What are your stories about evolutionary methodologies and database development? Have you used Data Studio software in this context?