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Technology projects continue to fail at an astounding rate, and the number and cost of these failures are stunning. The contributors to this issue of CBTJ refuse to give up and refuse to accept the notion that failure is a feature.
Cutter Consortium Fellow Robert Charette starts off the issue by looking at failure through an incredibly intriguing lens: what if failure is "the desired outcome of an IT project development and that success is inadvertent"? He then proceeds to set the “conditions” necessary for the pursuit of failure. He then goes on to test — and largely confirm — his “cynical theory.”
Ralph Menzano takes us directly into the C-suite through a series of discussions he had with CIOs and other executives about why so many damn technology projects fail. His article probes some of the causes of failure often ignored by the research community.
The authors focus on the role that communication plays in technology project management. They suggest that many conventional problems as well as some more strategic ones can be reduced, if not solved, by developing a communication plan that spans the entire project lifecycle, beginning with the stakeholder communication strategy.
Sridhar Deenadayalan offers a playbook in the form of five keys to a successful technology project. The strength of this article lies in its two-step approach to failure management. Problems are identified, then followed by specific actions, or “keys to success,” to address them.
Anjali Kaushik attempts to unfold the mystery of failed technology projects, with her examination dropping into the trenches. Her analysis is anything but conventional. She begins by looking at the necessity and meaning of process redesign. Kaushik’s advice to match technology projects to complementary assets and capabilities is especially helpful.
Mitigating the risks of developing and deploying SaaS carries with it similar challenges to on-premises implementations. In this Advisor, we highlight six lessons learned.
Will legacy and new auto manufacturing entrants be nimble and resilient enough to adapt their business models as the industry shifts to EVs? How can AI be used to detect or even prevent a wildfire occurrence? Find out in this latest edition of The Cutter Edge!