Stephen Brobst of Teradata:
There are four primary reasons that big data projects fail:
- They focus on technology rather than business opportunities.
- They are unable to provide data access to subject matter experts.
- They fail to achieve enterprise adoption.
- The enterprise lacks the sophistication to understand that the project’s
total cost of ownership includes people as well as information technology
I tend to disagree with the last 3 points or at least not consider those as primary reasons.
Except the novelty of this new field and thus its inherent challenges of new technologies being used, I don’t think big data projects are any different to other projects. And their failures are caused by the same well known reasons. Maybe the only new one is the unreasonable expectations. But even this one doesn’t seem so new to me.
Original title and link: Why Big Data Projects Fail ( ©myNoSQL)