Best 31 quotes in «data science quotes» category

Ratios matter in Data Science. Dreams should be big and worries small.

The corporations that embrace Data Science will find their long-term, generational growth directly proportional to how effectively they incorporated data scientist teams into their strategic planning.

The business should come to realize that the secret of Data Science is to remove all ideas, all concepts, in order for the truth to have a chance to reveal itself.

The business would do good to understand that success or failure is not final in Data Science. For this reason, the business should develop a persistent spirit.

The inadequacy of unidimensional plotting along a continuum (in this case the diagonal of a symmetric matrix) inevitably would make "buffer" elements appear non-conformist when in fact they may be part of an interconnected pattern.

You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.

Virtually all organizations have legacy issues and no Data Scientist can go back and create a new beginning, but a great Data Scientist can help organizations make new endings.

Data is the new science. Big Data holds the answers. Are you asking the right questions?

Data are becoming the new raw material of business.

Data is a precious thing and will last longer than the systems themselves.

Data really powers everything that we do.

Data is the new oil? No: Data is the new soil.

Data scientist is just a sexed up word for statistician.

A better world won’t come about simply because we use data; data has its dark underside.

Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.

All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration.

All data has its beauty, but not everyone sees it.

Data Science is a combination of art and science, limited only by the extent of freedom afforded the data scientist to explore coupled with their creative abilities.

Data Science is manipulating data, looking for patterns, and coming up with solutions to drive revenue, lower expenses, and thereby increase overall business profitability.

Decades from now, Americans will look back at this time, when Data Science was at its infancy, and liken its societal impact to that of the Industrial and Technological Revolutions.

With data collection, 'the sooner the better' is always the best answer.

Data Science takes the guesswork/emotions out of answering business questions by applying logic and mathematics to find better solutions.

Data Scientists should refuse to be defined by someone else's vision of what's possible.

Data Scientists should refuse to be denied by someone else's vision of what's possible.

Discovery is no longer limited by the collection and processing of data, but rather management, analysis, and visualization.

I foresee the next wave of revenue growth in corporate America will come directly from Data Science.

In Data Science if you want to help individuals, be empathetic and ask questions; that way, you can begin to understand their journey, too.

If you can't understand a study, the problem is with the study, not with you.

Invite your Data Science team to ask questions and assume any system, rule, or way of doing things is open to further consideration.

In the business people with expertise, experience and evidence will make more profitable decisions than people with instinct, intuition and imagination.

Data Scientists should recall innovation often times is not providing fancy algorithms, but rather value to the customer.