Data has no value until structured

The “potential” value of the data in the lake comes from having it available for advanced data science analytics and further processing (such as Artificial Intelligence, Machine Learning, etc.). These usually produce a structured result, which the team can then feed into the data warehouse or reporting for user consumption. The “actual” value of the data gets realized when a business user can apply it to making a decision, not before.

See all 100 lessons in Six-Word Lessons for Data-Driven Decision-Making.