We often hear that organizations are drowning in data but aren't quite sure what to do about it. The first step to solving your problem is not only understanding the difference between "data," "information," and "knowledge" but also learning how intelligent content automation can help you.

Since we often hear the terms “data,” “information,” and “knowledge” used interchangeably, most people assume all three mean the same thing. But there’s a difference.

Data is unprocessed facts and figures. Data itself doesn’t have a positive or negative meaning. This is because there’s no interpretation or analysis yet attached to it. Data is transformed into information when it’s been processed and given context around it.

It’s only then that data can begin providing useful answers. Information—not data—is what provides organizations with insight into their processes. This information then allows organizations to build knowledge with it.

Knowledge is the general application of collective data and information. Knowledge provides answers and can be used to benefit an organization.