Best 27 quotes in «analytics quotes» category

Analytics will never tell you everything you want to know.

Euler - The unsurpassed master of analytic invention.

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

Dedicated to all those who say: "I don't have time for analytics" or "I don't understand analytics".

Do not trust any statistics you did not fake yourself.

Ambiguity is not, today, a lack of data, but a deluge of data.

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

Without a goal analytics is aimless and worthless.

Düşüncesi neyse insan odur; düşünce sayısı insan sayısından çok daha az olduğu için de, aynı düşünceyi paylaşan insanlar benzerdir. Düşüncenin maddi bir yanı olmadığından, bir düşüncenin adamı etrafında sadece maddi olarak toplanmış insanlar, bu düşünceyi hiçbir şekilde değiştirmezler." (Guermantes Tarafı, s.92) "Düşüncenin, insanların çıkarlarına bir katkısı olamayacağı ve onların avantajlarından da yararlanamayacağı için, aynı düşünceyi paylaşan insanlar, çıkardan etkilenmezler." (a.g.e. s.93)

The best thing about being a statistician is that you get to play in everyone's backyard.

Exfiltrated metadata from internet service providers and social media platforms can be plugged into big data analytics and once the right algorithm is applied, can allow an adversary surgically precise psychographic targeting of critical infrastructure executives with elevated privileges. Why is no one talking about this?

If you are on social media, and you are not learning, not laughing, not being inspired or not networking, then you are using it wrong.

It's time to wake up and smell the Mutating Hash! Signature Based Malware Detection is Dead

Many of the cataclysmic leadership failures were failures of rationality. The pendulum of leadership development needs to swing back toward the rational: strategy, creativity, foresight, decision-making, and analytics.

The weak hype of analytics without the stronghold of conversions to sales and profits is not something to promote. Stop hyping the online numbers and start delivering better content and engagement to create the true physical sales numbers.

Tweet others the way you want to be tweeted.

We live in a highly complex, technological world – and it's not entirely obvious what's right and what's wrong in any given situation, unless you can parse the situation, deconstruct it. People just don't have the insight to be able to do that very effectively.

You can keep the Office of Personnel Management records, I don't need Electronic Health Records, give me the metadata, big data analytics and a custom tailored algorithm and a budget and during election time, I can cut to the psychological core of any population, period!

Data is your Beta...

In my opinion, defining intelligence is much like defining beauty, and I don’t mean that it’s in the eye of the beholder. To illustrate, let’s say that you are the only beholder, and your word is final. Would you be able to choose the 1000 most beautiful women in the country? And if that sounds impossible, consider this: Say you’re now looking at your picks. Could you compare them to each other and say which one is more beautiful? For example, who is more beautiful— Katie Holmes or Angelina Jolie? How about Angelina Jolie or Catherine Zeta-Jones? I think intelligence is like this. So many factors are involved that attempts to measure it are useless. Not that IQ tests are useless. Far from it. Good tests work: They measure a variety of mental abilities, and the best tests do it well. But they don’t measure intelligence itself.

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

The human side of analytics is the biggest challenge to implementing big data.

Tweet others the way you want to want to be tweeted.

Use of analytics is accelerating, and that means more data-driven decision making and fewer hunches. Evidence-based management complements analytics by adding validated cause-and-effect relationships between policies and effects.

We abolished every order blank and every form of statistics that did not directly aid in the production of a car. We had been collecting tons of statistics because they were interesting. But statistics will not construct automobiles—so out they went.

We are moving slowly into an era where Big Data is the starting point, not the end.

Yesterday’s decision-making strategies are ill-equipped to deal with petabyte information flows.