Companies are finding that big data doesn’t necessarily translate into easy success.

Experts who specialize in computer-driven analysis of large streams of information say too many companies throw themselves into big-data projects, only to fall into common traps and end up with nothing to show for their efforts. Some 44% of information-technology professionals surveyed by business-software firm Infochimps Inc., for example, said they had worked on big-data initiatives that got scrapped.

Here are five mistakes companies commonly make with big data…

Infochimps: Big Data, Big Blunders