Common Sense = Data Knowledge

I like the term common sense. It breaks down decision making to the lowest common denominator. The two words together are extremely powerful.

The current description or definition of common sense is:

“good sense and sound judgment in practical matters”.

I was driven to write about this based on a recent post questioning?

“Which is more important, data or algorithm?” 

My immediate response was data integrity; yet the range of answers was quite broad. I think the most consistent answer was both.  I felt that was the safe answer.

Without further qualifying the original question, was the safe answer based on good judgement?

As we continue down the path of rules-based decision making, how will the rules be created and are they are more or less likely to exhibit common sense. I suppose it will be a mirror of those that initially create the rules; but what about when machine learning begins to interpret existing rules in order to create new ones?

Will the algorithms make common sense decisions; exhibit good judgement.  Will good data be exempt from poor decisions? Will bad data escape good algorithms?

I think data knowledge best effects usable rules and lack of data knowledge doesn’t. So perhaps none of the answers were correct. It isn’t data or algorithm but the common sense that is applied to both.  

I would respectfully like to change my original reply to data knowledge; which to me is the only common-sense answer.