Great Analytics Paradox

Great George Santayana (1863-1952) once said "Those who cannot remember the past are condemned to repeat it."  Is this true in  the world of big data? We are generating so much data today that soon it will be impossible to store. We have to "forget" a large chunk of data. The other day, I was looking for an old photograph. I remember taking that picture because I have a picture of that picture as a wall paper in a computer. But I cannot find that picture anymore and that image is forgotten. Same is the case with e-mails and other data that we collect. How far back do you have your e-mails?  How many e-mails have you forgotten? Anyhow, what does it mean to "repeat" the history if we have already forgotten it? These are interesting questions. But the paradox that I am referring to is different. The very fact that past data is available, will lead to history being repeated. We perform analytics and find the important decisions and their outcomes. If these decisions led to favorable outcomes in the past, we will be "condemned" to repeat them. I am sure if Santayana lived in this new "big-data" led analytics era, he would have changed his quote to "Those who can remember the past (and can do analytics) are condemned to repeat it." Do you agree?