Five Reasons to Throw Your Data Away

[Commentary] Common wisdom when it comes to Big Data is that you should keep it all. The reality, however, is far different. Keeping all your data is more expensive — and carries more risk — than it first appears.

Here are five key reasons to throw your data away.

1. More data equals more risk.
2. More data means more noise.
3. Storing your data isn’t free.
4. Data analyzed is a lot more valuable than data stored.
5. The more data you have, the less you can trust it.

[Bob Tennant is CEO of Recommind which specializes in unstructured data management and analysis technology]