Aging

The largest cost of data is moving it and querying/processing/transforming it.

As data volume increases, so does the cost.

Conversely, as data ages, it becomes less valuable.

Inventory data from last week is far more valuable than data from 10 years ago.

Most dataset hits a tipping point when the cost outweighs its value.

Most dashboard crosses over from being an asset to a liability.

Most data becomes dead weight.

Only the courageous are brave enough to archive and purge. Data is not a collection contest.

Data serves business goals, which means the bottom line comes first.

It was good to see you today,

Sawyer