According to a McKinsey study, half of all outsourced projects failed to meet their expected goals – while an Information Week Survey showed that 40% of outsourced projects did not save money! Factors that contribute to these problems include issues with quality, time zone challenges, and added travel expenses, among others.
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
What defines cognitive manufacturing maturity? Our study found three stages of cognitive
manufacturing maturity. We call those organizations in the earliest stage Observers, followed
by Starters and Actives, respectively. These groups differ on two key characteristics: the
presence of an overall strategy for cognitive manufacturing, and degree of strategic execution
of multiple projects that enable higher project success and significantly fewer failed projects.
Strategy is the crucial enabler of higher maturity.
How do manufacturers get beyond the obstacles and barriers to increase cognitive
manufacturing maturity? The obstacles encountered by our respondents are tied to
organizational maturity. Overcoming them is fundamental to increase cognitive
In this report, we’ll first describe cognitive computing and how it gives rise to cognitive
manufacturing. Then, we’ll review specific study findings and recommend actions for
Published By: Quocirca
Published Date: Nov 13, 2006
IT in the UK public sector is under intense scrutiny and needs to deliver better results: much investment has been made which has too often failed to deliver. Projects have a history of being protracted and complex, offering significant challenges to all involved.
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